Computer Science
How do you generate the desired output from your input? Our team of tutors will help you crack the code.
Interested in learning more? Get in touch
Tutor spotlight
We are a cooperative of thinkers––physicists, historians, computer scientists, economists, literary critics, lawyers, linguists, biologists, poets, mathematicians, and so many more--who provide exceptional one-on-one tutoring and academic support to our students.
Meet everyone
Bassel
Bassel received an MS in Civil Engineering from MIT and a BS in Engineering from Harvard. He has taught college courses on topics ranging from probability and statistics to modern history.
Arpit
Arpit is a PhD student at the Icahn School of Medicine at Mount Sinai. He earned his bachelor's in Biomedical Engineering from the University of Connecticut, where he graduated with Honors.
Aditya K.
Aditya is a PhD student in Computer Science at the University of Illinois. He received his BS in Computer Science and Applied Computational Mathematics from CalTech and MS in Computational Science and Engineering from Harvard.
Nathan
Nathan graduated from Princeton University with a BS in Physics and a minor in Applied Math (summa cum laude, Phi Beta Kappa). He is currently a PhD student in Physics at Harvard.
Di
Di is an MBA student at the UC Berkeley Haas School of Business and has deferred admission to Harvard Law School. He received his BS in Mathematics, and BAs in Economics and Statistics at the University of Chicago.
Tahseen
Tahseen was a Math major at UVA, where he was an Echols Scholar and graduated with high distinction. After working for a year as a software developer, Tahseen pursued a Master's Degree in Mathematics at NYU's Courant Institute of Mathematics. He recently completed his PhD in Computer Science at the University of Maryland and now works as a postdoctoral fellow in AI at Yale.
Joshua Y.
Josh earned his BS in Biomedical Engineering at Rutgers University (summa cum laude, Tau Beta Pi and Alpha Eta Mu Beta). Currently, he is a research scientist at the Center for Engineering in Medicine at MGH.
Ash N.
Ash received his MA in Economics from Columbia University. He graduated with a degree in Electrical Engineering and Econometrics from the University of Alabama at Birmingham (summa cum laude, Tau Beta Pi).
Chang M.
Chang is an MD/PhD student at Icahn School of Medicine at Mount Sinai. He earned his BA in English Literature and Biochemistry at Columbia University, where he was a John Jay Scholar and graduated Phi Beta Kappa.
Anusha N.
Anusha is a medical student in the Health Sciences and Technology program at Harvard Medical School and MIT. She graduated with a BS in Bioengineering from Caltech, where she was a member of the Tau Beta Pi engineering honor society.
Vera T.
Vera served in the US Air Force for 6 years. After the Air Force, she double-majored in Neuroscience and Mathematics at the University of Arizona. She is currently completing her MD/PhD at University of Washington in St. Louis.
Charles P.
Charles graduated from Princeton University with a BSE in Mechanical Engineering and Certificate in Theater and Dance. He has been a private tutor in New York City for over twelve years.
Sam D
Sam holds a BS in Physics (Cornell) and a PhD in Physics (Harvard). He's now a postdoctoral researcher at the University of Pennsylvania, studying physical systems and machine learning applications.
Dan L.
Dan is a Rhodes Scholar currently completing his Master's in Global Health Science and Epidemiology at Oxford. Previously, Dan conducted research at the Broad Institute of Harvard and MIT.
Alicia C.
Alicia is a PhD student in Linguistics at NYU. She graduated magna cum laude from Washington University in St. Louis, with a BA in Linguistics and Data Science and a BA in Spanish with a minor in Music.
Erika N.
Erika earned a BS in Biology, specializing in Quantitative Biology and Bioinformatics, at Stony Brook University; she graduated summa cum laude with Phi Beta Kappa She is currently pursuing an MD/PhD in Cancer Immunology through the Icahn School of Medicine at Mount Sinai.
Vivian U.
Vivian is a first year medical student at the Icahn School of Medicine at Mount Sinai. Previously, she earned her BS in Computational Biology with a Computer Information Science minor from Cornell University.
John L
John is currently a Quantitative Researcher and Educator; he's developing a risk web application in R language to realize the volatilities in US and foreign asset classes. He graduated from the University of Michigan with a Master's in Data Science.
Donald L.
Donald graduated with a BS in Physics at California Polytechnic Polytechnic State University. His research in machine learning led to a staff research scientist position at Lawrence Livermore National Lab. He's currently pursuing a PhD in Computer Science at the University of Michigan.
Hunter B.
Hunter studied Physics and Computer Science at Harvard College. In 2019, the Chicago Cubs drafted Hunter, and he’s been playing pro baseball ever since.
Hamzah
Hamzah is a PhD student at the University of Texas at Austin in the Aerospace Engineering department. His interests span distributed control and planning, game theory, robot safety, and autonomous vehicles.
Jadyn
Jadyn is a Physics PhD student at Stanford University. Previously, he earned his MA in Education and BS in Physics from Villanova University.
Arun
Arun is a PhD candidate in Mathematics at MIT. Previously, He he received a BS in Computer Science and Mathematics, and an MS in Mathematics from the University of Virginia, all in four years.
Eleanor S.
Eleanor is an MBA/Masters in Computer Science dual degree candidate at the University of Chicago/Booth School of Business. Previously, she received her Bachelor’s degrees in Economics and Molecular Biophysics and Biochemistry from Yale University.
Ajay
Ajay graduated from Northwestern University (magna cum laude, Phi Beta Kappa) with degrees in Neuroscience and Philosophy, writing senior theses in both disciplines and publishing multiple peer-reviewed research papers in neuroscience. He is currently a third year student in the MD/PhD program at Harvard/MIT, and is enrolled in the Bioinformatics and Integrative Genomics PhD program.
Michael S.
Michael graduated with honors from Swarthmore College with a Bachelor of Arts in Computer Science. He next acquired a PhD in Computer Science at the University of Virginia, specializing in parallel and distributed systems. He completed his post-doctoral studies at the RENCI Supercomputing Center at UNC Chapel Hill.
William O.
Will is now attending Stanford’s Graduate School of Business for his PhD, studying applications of machine learning, algorithms, and network science to problems in business. He previously double majored in computer science and mathematics at Caltech.
Joe Z.
Joseph is a Cyber Warfare Officer in the United States Army. In 2023, he graduated from Harvard University, earning his MS in Data Science as a member of the Draper Scholars Program. In 2021, he graduated summa cum laude from the United States Military Academy at West Point, earning his BS in Mathematical Sciences along with a minor in Cybersecurity.
Iggy
Iggy majored in Mathematical Sciences at West Point. He now studies machine learning and applied mathematical techniques at MIT, working at the MIT Lincoln Laboratory to develop algorithms that predict the impact of cyber-attacks on national defense systems.
Katherine T.
Katherine graduated cum laude from Dartmouth College with a major in Computer Science modified with Film and Media Studies and a minor in Theater - a mouthful! Upon graduation, she accepted a role as Engineering Analyst at Accenture.
Ravi
Ravi graduated from Georgia Tech with a BS in Management. He then was accepted to Harvard Business School’s 2+2 program. He spent three years as a healthcare investor and obtained the CFA designation before matriculating at HBS. He’s since worked for Khan Academy, Flexport, and Chime – the most recent of which he was Lead Data Scientist & Data Engineer. Ravi currently works for Anduril, a defense company.
Jacob K.
Jacob holds a BS in Computer Science from Washington University in St. Louis, where he graduated magna cum laude. After working on data analytics for the NBA team the Oklahoma City Thunder, he is now a data analyst for CVS Health.
Josh V.
Josh is a PhD student in Physics at MIT, supported by a National Science Foundation GRFP and a Dean of Science Fellowship. Previously, he worked in industry as a Data Scientist and graduated from Harvard with an AB in Physics.
Madhav
Madhav graduated with a degree in Computer Science with Honors from Caltech. After graduating, he worked at Oracle as a software engineer; more recently, he joined BallerTV, a fast growing sports-streaming startup, as a full-stack engineer.
Amnon
Amnon is a PhD in Computational Robotics and Reinforcement Learning at The University of Illinois at Urbana-Champaign. He has been recognized as an Outstanding Teaching Assistant by his university for teaching Artificial Intelligence and Machine Perception.
Max R.
Max holds a PhD in Computer Science from UC Berkeley, prior to which he received his AB in Mathematics from Princeton University. He has done research across multiple areas of machine learning and statistics, notably natural language processing, fine tuning for neural networks, probabilistic modeling, and statistical theory.
Ian D.
Ian holds a PhD in Physics from Harvard University. While pursuing his undergraduate degrees in Physics and Mathematics at James Madison University, he was awarded Most Outstanding Researcher in the Physics Department.
Alex P.
Alex graduated from the Massachusetts Institute of Technology (MIT) in 2022 with a degree in Biological Engineering and a minor in Science, Technology, and Society studies. She is now completing a PhD in Biophysics at Harvard University.
Chenguang
Upon graduation from Dartmouth, Chenguang received the James B. Reynolds scholarship to study for an MPhil at the University of Cambridge in Physiology, Development, and Neuroscience. She is now pursuing a PhD at Harvard in Biophysics.
Reggie
Reggie holds an MS in Product Development from Carnegie Mellon University and a BA in Cognitive Science and Computer Science from Bard College. He now works as a computational designer.
Dom
Dom is a PhD Candidate in Political Science at Harvard University. Previously, he graduated from the University of Michigan with degrees in Political Science and Statistics.
Quinn B.
Quinn graduated from MIT with two degrees in Physics and Mathematics. She received the Joel Matthew Orloff Award in both Research and Service in Physics upon graduating, and was awarded with the MIT Math Award for her teaching service.
Farita
Farita earned her BS in Electrical Engineering at the Massachusetts Institute of Technology and her MS in Biomedical Engineering at the MIT Media Lab. She is now a PhD Candidate working on the Theoretical Physics of Living Systems at the MIT Media Lab.
Siva
A first-generation US college student, Siva studied Mathematics and Molecular/Cellular Biology at Harvard College, graduating in three years with highest honors in field and Phi Beta Kappa distinction. He is now a MD candidate at Harvard Medical School.
Alexandra K.
Alexandra graduated from Caltech with a BS in Physics in 2022, where she worked with four diverse research groups in four years. Alexandra is now a PhD student and NSF GRFP Fellow at the MIT Laboratory for Nuclear Science.
Ritvik
Ritvik graduated with a BSE from the University of Michigan, majoring in Biomedical Engineering and minoring in Computer Science. He has been accepted to and will be attending either Johns Hopkins School of Medicine or Columbia Vagelos College of Physicians and Surgeons.
Adrian L.
Adrian attended Caltech where he earned a BS in Physics in 2022. He now attends Harvard as a PhD student in Quantum Science and Engineering. His research focuses on the intersection of quantum chemistry and quantum computing.
Ryan L.
Ryan is a PhD student at MIT researching material properties and how AI can be used to solve problems in science. Previously, he attended UC Santa Barbara as a physics major where he was part of a small, accelerated program of study designed for highly motivated students.
Nadia C.
Nadia majored in Environmental Science at UCLA, where she graduated magna cum laude and was awarded the National Oceanic and Atmospheric Administration Hollings scholarship. She is now a PhD candidate at Harvard in the Department of Earth and Planetary Science.
Kirsten M.
Kirsten is a National Science Foundation Graduate Research Fellow and PhD candidate at Harvard University, where she studies Psychology with a minor in Data Science. Previously, she earned her BA in Psychology and Cognitive Science at Swarthmore College.
Alan C.
Alan attended Princeton, where he studied Mathematics, focusing on Probability Theory and Machine Learning Theory. He is now a PhD student at Harvard in the Department of Statistics, where he works on establishing mathematical foundations for machine learning tools that have had empirical success.
Duncan H.
Duncan attended college at the Georgia Institute of Technology, graduating with a BS in Mechanical Engineering, magna cum laude. Driven by his passion for space, he is now working on a Master's degree in Aerospace Engineering through Georgia Tech.
Johnson E.
Johnson holds an undergraduate degree from Georgetown University, a Master’s in International Trade & Finance from the Harvard Kennedy School, and an MBA from MIT. He has worked for Goldman Sachs, the Federal Reserve, and Harvard Business School.
Alena
Alena studied electrical engineering at Stanford. After graduation, she worked for a cybersecurity startup before spending four years at Google as a software engineer.
Chris R.
Chris is a PhD candidate at MIT’s Computational and Systems Biology Program. He previously earned his bachelor’s degree in cyber engineering with a minor in mathematics from Louisiana Tech University with a 3.96 GPA.
Olivia W.
Olivia holds an BA in Chemistry from Princeton, and an MSt in General Linguistic and Comparative Philosophy from Oxford. She is currently pursuing a PhD in Linguistics at the University of Hawaiʻi with a focus on endangered language documentation and computational linguistics.
Mindy
Mindy holds a BA in Computer Science from Brown University. After working as a professional software engineer for 3 years in London, she decided to pursue an MSc in Urban Spatial Science at University College London.
Greg C.
Gregory is a GEM PhD fellow and a PhD candidate in Applied Physics at Harvard University. Previously, he received his undergraduate degrees in Electrical Engineering and Engineering Physics from the University of Michigan, Ann Arbor.
Tom S.
Tom earned master’s degrees in economics and statistics from the London School of Economics and the University of Oxford. Previously, he completed four undergraduate degrees in mathematics, economics, statistics, and philosophy at Indiana University.
Ryan Ro.
Ryan graduated with a BS in Mathematics from MIT. He is now pursuing a PhD in Computer Science at the University of Chicago.
Chris C.
Christopher is pursuing a Master's in Urban Planning at the Harvard University Graduate School of Design (GSD). Previously, he graduated from the University of Pennsylvania with a Bachelor's in Computer Science. He completed his MS in Engineering in Data Science at Penn as well.
Clara E.
Clara holds BS and MA in Computer Science from Stanford University, specializing in Artificial Intelligence.
Caleb Hh.
Caleb graduated from Harvard College in with a joint concentration in Physics and Mathematics, for which he received high honors. He plans to begin pursuing a PhD in Experimental Atomic, Molecular, and Optical Physics in 2024, with a focus on laser cooling and optical trapping.
Yooni
Yooni graduated from Harvard College with a double concentration in computer science and psychology. She has interned primarily as a front-end developer at several companies.
Bowen
Bowen graduated from Harvard University, magna cum laude, with a joint degree in computer science and statistics. Currently, he works as a researcher in AI for healthcare. He will start a PhD at Stanford in 2024.
Kavya
Kavya graduated summa cum laude and Phi Beta Kappa from Harvard College with a joint degree in Chemical & Physical Biology and Statistics. After earning his MPhil in Computational Biology at the University of Cambridge as a Marshall Scholar, he is now pursuing an MPP at the University of Oxford.
Anamaria
Ana Maria earned her Bachelor's in Applied Computational Physics, graduating summa cum laude, from New York City College of Technology (CUNY). She next earned her PhD in Astronomy & Astrophysics from Harvard University. Ana Maria is now a Postdoctoral Fellow at Johns Hopkins University.
Selene
Selene graduated summa cum laude from the University of Pennsylvania with a BA in Cognitive Science, concentrating in Computation and minoring in Computer Science and Chemistry. Since graduating, Selene has been working as a full-stack developer, but she will be resuming her medical journey in the fall as an accepted MD candidate.
Adam T.
Adam holds a BA in Physics from Washington University in St. Louis (2013) and PhD in Physics from MIT (2024). He has worked as an engineer and data scientist.
Gavin R.
Gavin holds a BA in Mathematics and Computer Science from Harvard College. After working as a software engineer in computational geometry at Markforged in Boston, he moved to Austria to work as a research assistant in quantitative social science at the Institute for Science and Technology Austria and Complexity Science Hub Vienna.
Richard T.
Richard attended the University of California, San Diego where he earned his Bachelor’s Degree in Data Science with a minor in Mathematics. Last year, he moved across the country to New York, where he is now a data scientist at BNY Mellon.
Meena
An avid problem solver, Meena earned national recognition for qualifying at age 16 for the USA Math Olympiad (USAMO). From there, she found her passion in teaching mathematics. Meena relishes breaking down a complex concept and celebrating the “aha” moment when everything clicks. She was on the mathematics faculty at Boston’s Commonwealth School, teaching advanced courses spanning calculus, statistics, and computer science. Meena earned her Ed.M. from the Harvard Graduate School of Education and her A.B. in computer science from Harvard College. Her approach combines patience with rigor, focusing on conceptual understanding over drilling and formulas.
Victor Od.
Victor double majored in Complex Systems and Mathematics at Cornell, where he graduated summa cum laude and Phi Beta Kappa. He starts his PhD in Applied Math at Princeton in September 2024.
Myeongseo
MyeongSeo received a Bachelor’s degree with High Honors in the field of Mathematics at Harvard College, with a secondary field of Computer Science and a language citation in Mandarin Chinese. They are now a PhD Candidate in Mathematics at Johns Hopkins University.
Karl
Karl double majored in Molecular Biology & Biochemistry and Japanese Studies at Middlebury College. After graduating summa cum laude, he became a Fulbright Research Fellow at the University of Tokyo where he developed tools for cell imaging.
Suraj
graduated from Carnegie Mellon University with a degree in Computational Biology and completed Postbac research in the IRTA program at the NIH. Currently, Suraj is a first-year medical student at the Tufts University School of Medicine.
Jessika
Jessika is an MD/PhD student at Harvard Medical School and MIT, researching deep learning applications in drug discovery. She previously graduated summa cum laude from WashU on a full-ride scholarship where she studied Computational Biology with minors in Computer Science and Mathematics.
Benjy F.
Benjy completed his Bachelor's and Master's degrees in Mathematics at Harvard University, where he graduated summa cum laude and Phi Beta Kappa. He is currently pursuing his PhD in Mathematics in MIT.
Gili
Gili holds a BS and MS in Computer Science, both from Stanford University. She has experience in AI, human computer interaction (HCI), computer security, and computer science pedagogy.
Max
Max is a PhD candidate in Applied Mathematics at MIT, where they are developing accelerated methods for machine learning, optimization. Previously, Max graduated with a BS in Applied Math and Computer Science from Northeastern University in 2022.
Anna M.
Anna holds a BS in Applied Mathematics from Columbia University. She will next pursue her PhD in Applied Mathematics at Princeton University.
Cole
Cole is a PhD student and Ella Pawling Graduate Fellow at the University of Pennsylvania, studying observational cosmology by hunting for supernovae, dark matter, and gravitational wave events. He holds an MS in Physics from the University of Cambridge, and a BA in Physics and BS in Astrophysics from the University of Chicago.
Shi Ke.
Shi-Ke holds a BA in Computer Science and Electrical Engineering from MIT. After MIT, they went on to be a Software Engineer at Google.
Korinna
Korinna studied Electrical Engineering and Computer Science at UC Berkeley. She will soon be starting her PhD in Computer Science at CMU.
Brians
Brian holds a BS and MS in Mathematics from Yale University. He is currently a PhD Candidate in Mathematics at UC Berkeley.
Annie U.
Annie is a PhD student in Statistics at UC Berkeley, where her work on fairness and robustness in machine learning lies at the intersection of statistics and computer science. She previously earned her BS from Yale University, where she majored in Applied Mathematics and Mechanical Engineering.
Veda
Veda holds an MS in Biostatistics from Harvard TH Chan School of Public Health. She is next pursuing her PhD at NYU, where she will apply AI and machine learning methods to organize diverse medical data and develop predictive risk stratification algorithms for clinical use.
Riya D.
Riya graduated from the University of Texas at Austin with a BS in Math, a BS in Computer Science, and a Certificate in Applied Statistical Modeling. She is now a PhD Candidate in Mathematics at the University of Oxford.
Victorm
Victor holds a BS in Computer Science and Mathematics and an MS in Computer Science from UNC Chapel Hill. After working for Microsoft, he returned to academia to pursue a PhD in Computer Science (Robotics) at the University of Illinois, Urbana-Champaign.
Rikhav
Rikhav holds a Bachelor’s in Mathematics from MIT. He is now working towards a PhD in Mathematics at UC Berkeley.
Chris H.
Chris attended Tufts University, where he double majored in Math and Philosophy. After working as a computational research assistant at the Stanford Cognitive Systems Neuroscience Lab and completing a PhD at the Harvard Vision Sciences Lab, Chris now works as an AI researcher at FAR labs.
Kevin C.
Kevin holds a BS in Mathematics from MIT. He is now a PhD Candidate in Mathematics at Columbia University, where he conducts research in algebraic geometry.
Mark N.
Mark is an MBA Candidate at Harvard Business School. Previously, he earned his MS in Computer Science from Georgia Tech and his BA in English from Princeton (magna cum laude).
Sergio
Sergio holds a BS in Physics and Math from Emory University, where he graduated magna cum laude. He is currently a PhD student in Physics at MIT.
Cassie
Cassie graduated with a degree in Computer Science and Biomedical Engineerig from Johns Hopkins University. She is now pursuing a PhD in Medical Engineering and Medical Physics at MIT and Harvard Medical School as part of the Health Science Technologies (HST) program. Her research focuses on fair machine learning for underserved health conditions.
Gabe S.
Gabe is a PhD student in Economics at Cornell University, focusing on theoretical Microeconomics. He graduated from Haverford College in 2022 with majors in Mathematics and Economics, winning honors in Economics and the Michael M Weinstein Prize in Economics.
Maddie S.
Maddie graduated from Harvard and completed an honors thesis on resting-state functional connectivity in infant macaques, receiving two summer fellowships (HCRP) to fund her research during college. She next earned her PhD in Bioengineering from UC Berkeley.
Conor
Conor pursued a dual degree in Mechanical Engineering and Economics at the University of Maryland and holds an MS in Mechanical Engineering from Georgia Tech. After earning an MBA and (another) MS in Mechanical Engineering at MIT, he now works at Boeing.
Maggie
Maggie is a first year MD-PhD student in Harvard-MIT’s Health Sciences and Technology (HST) program. She graduated from Caltech in 2023, where she majored in Bioengineering and minored in English.
Shivam
Shivam earned his BS in Computer Science and Mathematics from Brown University. He is currently a PhD student at Harvard University in the SSQB program.
Rehan
Rehan holds a BS in Computer Science from the University of Sussex and an MPhil in Computational Biology from the University of Cambridge. He is now advancing to a PhD in Cancer Research, where he will continue to explore the cutting-edge application of AI in understanding and combating cancer.
Maxr
Max earned a BA in Computer Science and Classics from Brown University. With six years of classroom experience teaching high school math and computer science, Max also works with DeltaMath and IXL, two edTech platforms that enhance math education for students and teachers alike.
Baker
Baker attended Stanford University and studied Computer Science with a minor in Education, spending three years as a teaching assistant for Stanford's famous introductory computer science courses. He now lives in Los Angeles working as an instructor and CS education consultant for Snap (Snapchat) and an independent school.
Evan S.
Evan graduated with distinction from Yale with a degree in Electrical Engineering and Computer Science. He is now working for a space grade semiconductor company in Boston.
Matthew D.
Matthew graduated as a Phi Beta Kappa early inductee from the University of Notre Dame with degrees in Honors Mathematics and Physics, and with a concentration in Advanced Physics. He is now a PhD student in Physics at NYU.
Jocasta
Jocasta graduated from MIT with a BS in Brain and Cognitive Sciences, exploring research in visual neuroscience and machine learning. This interest carried her to Stanford University, where she earned an MS in Bioengineering.
Alleah
While a senior in high school, Alleah completed her AA degree from Lake Sumter State College, graduating summa cum laude before the completion of her high school coursework. Alleah then pursued her BS in Psychology and BA in Data Science at the College of William & Mary, where she graduated with honors in both degrees in under three years. She is now a JD Candidate at Harvard Law School.
Dominik
After completing his undergraduate degree in Applied Mathematics with a focus on Computer Science and Economics alongside a Master's in Computational Science at Harvard, Dominik graduated magna cum laude with a 4.0 GPA and Phi Beta Kappa honors. He is now at Oxford on the Von Clemm Fellowship, awarded to one Harvard student annually, where he is pursuing a Master’s in the Mathematics and Foundations of Computer Science.
Deblina
Deblina graduated from the University of Chicago in June 2021. She majored in Sociology and minored in Computer Science and Statistics.
Rob H.
Robert graduated summa cum laude and Phi Beta Kappa from Yale University with a BA in Ethics, Politics & Economics. He is a 2024 Marshall Scholar, and he is currently studying towards an MPhil in Evidence-Based Social Intervention and Policy from the University of Oxford.
Kenny
Kenny is a software engineer currently working for Amazon in the Bay Area, CA. He graduated with distinction from UNC-Chapel Hill with a BS in Business Administration from UNC's Kenan-Flagler Business School, as well as a BS in Computer Science and a minor in Data Science.
Markp
Mark studied engineering at Northeastern University, where he and a colleague designed, patented, manufactured, and brought to market an innovative skateboard suspension and braking system. His dedication to mechanical design and manufacturing has led him to his current role as Director of Product Engineering at an electric motor company.
Madeleine
Madeleine recently graduated from UC Berkeley with a degree in Mathematics. She spent her last year of college studying abroad in Seoul, South Korea, where she researched the societal impacts of artificial intelligence.
Charles Z.
Charles majored in Computer Science at the University of Massachusetts Amherst, with a minor in Philosophy. After graduating, he worked for a few months as a software engineer at Amazon before he began as a post-baccalaureate researcher at Harvard University. He will start his PhD in Computer Science at Harvard this fall, funded by the NSF CSGrad4US Fellowship.
Grace L.
Grace graduated from Barnard College with a double major in Computer Science and English. She is currently a PhD student at the University of Chicago, where she conducts research at the intersection of AI and Education to better support student learning with new technologies.
Carlos H.
Carlos earned a double major in Aerospace Engineering and Electrical Engineering & Computer Science while leading the Men’s Varsity Soccer team as captain at MIT. He capped off his MIT journey with a Master’s in Computer Science, specializing in Artificial Intelligence.
Ayelet
Ayelet majored in physics at Yale, graduating summa cum laude and Phi Beta Kappa. Currently a Marshall Scholar, Ayelet is studying the intersection of synthetic biology and AI at Imperial College London.
Robert I.
Robert earned a BSE in Mechanical Engineering and an MSE in Biomedical Engineering at the University of Michigan. He is currently employed as an R&D Engineer.
David O.
David pursued a BS in Biostatistics at Saint Louis University, completing his degree in just five semesters before continuing his studies at Harvard T.H. Chan School of Public Health, where he earned his Master's in Biostatistics.
Ellens
Ellen recently graduated from Princeton, where she obtained her BS in Computer Science with a certificate in Applied Math. She is currently PhD candidate in Data Science and Machine Learning at NYU, where she studies intelligence in humans and machines.
David H.
David earned degrees in Computer Science and Economics from the University of Virginia, graduating summa cum laude. He co-authored a research paper featured at the IEEE Symposium on Security and Privacy but more recently works as a software engineer on a generative AI team at Amazon.
Jie
Jie (pronounced like "Jay") grew up in New Jersey and completed his undergraduate studies in Cell Biology and Neuroscience at Rutgers University. Afterwards, he worked at Regeneron Pharmaceuticals, where he developed a strong interest in computational biology. He returned to school, completing a Biomedical Informatics Masters at Columbia University before joining the Biomedical Sciences PhD program at Mount Sinai.
Connie C.
Connie studied Computer Science at Cornell University, where she earned both her BS and MEng. She is currently working on helping a startup targeting to create AI agents in the construction industry.
Ben Z.
Ben holds a BSc in Computer Science and Mathematics, as well as an MEng in Computer Science from MIT. Since graduating, Ben has worked as a Software Engineer at Google and as the research engineering lead for MIT/IBM joint project in Bayesian artificial intelligence.
Alexa C.
Alexa holds a BA in Mathematical Economics from Colgate University (magna cum laude) and a dual MS in Computer Science and Technology Policy from MIT. Currently, Alexa is a Product Manager and Artificial Intelligence (AI) Subject Matter Expert for the United States Federal Government.
Sarahw
Sarah studied at Yale University, where she double-majored in Computer Science and Ecology & Evolutionary Biology, earning early induction into Phi Beta Kappa and graduating magna cum laude with a 3.95 GPA. After college, she spent two years as a software engineer at Facebook before pursuing her MD at Harvard Medical School.
Connorw
Connor is a third-year PhD candidate in high-energy theoretical physics at Brandeis University. Previously, he earned his BA in Computer Science ad MS in Physics from Case Western Reserve University.
Jess P.
Jess is an incoming DPhil student in Computer Science at the University of Oxford, specializing in Human-Centered AI. She holds a Master's in Computer Science from Vanderbilt University and a Bachelor's in Information Technology from the University of South Florida.
Chloe G.
Chloe majored in Math and Biology at Converse University, where she graduated with a 4.0 GPA. She's currently pursuing her PhD in Applied Mathematics at Brown University.
Davido
David studied computer science at MIT, graduating with a BS in Artificial Intelligence and Decision Making. David was named a US Rhodes Scholar, earning a full two-year scholarship to study at the University of Oxford. After completing his master’s, he plans to matriculate as an MD candidate at Harvard Medical School.
Plans
We’ve created structured, yet flexible pricing plans that offer everything you need to succeed in your courses.
Hourly Rate
1 HourAll of our tutoring is priced on an hourly basis, and most academic tutoring sessions are 90 minutes. If you're not sure how much tutoring you'll need, you can enroll in our "pay as you go" option.
$155
$195
$295
$395
$550
First Time Package
4.5 HoursWe require a first-time minimum commitment of three 90 minute sessions due to the significant amount of preparation that tutors do in advance of the first few sessions. This initial package is a good way to get your feet wet, evaluate the amount of tutoring you'll ultimately need, and see if you feel comfortable with your tutor.
$697.50
$877.50
$1,327.50
$1,777.50
$2,475.00
Ten Sessions
15 Hours 5% OFFAn opportunity to deepen your understanding and comfort with your courses, with more flexibility to cover content, essential skills, and exam preparation.
$2,208.75 You save $116.25
$2,778.75 You save $146.25
$4,203.75 You save $221.25
$5,628.75 You save $296.25
$7,837.5 You save $412.5
Twenty Sessions
30 Hours 10% OFFA comprehensive approach to tackling classes, providing ample time and space to absorb material, master the ropes of the subject, and get comfortable with assignments and exams.
$4,185 You save $465
$5,265 You save $585
$7,965 You save $885
$10,665 You save $1,185
$14,850 You save $1,650
Package pricing for the Leader tier available upon request.
Tutor Tiers
We have four tiers of tutor, with different hourly rates, which correlate to the tutor’s experience. We evaluate tutors for promotion to higher tiers based on hours worked, student outcomes, qualitative feedback, and volume of client referrals.
-
Standard
0-150 hours
$155/hour -
Senior
150-200 hours
$195/hour -
Guru
250-300 hours
$295/hour -
Master
350+- hours
$395/hour -
Leader
Price upon request