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.
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.
Wony
Wony holds a PhD in Applied Analysis at Carnegie Mellon University, specializing in the field of dynamical systems and partial differential equations. His thesis is about nonconvex optimization techniques using underlying geometric structures.
Sheela
Sheela earned her BFA in Vocal Performance and BS in Psychology from Carnegie Mellon University. She earned a Postgraduate Diploma in Vocal Performance from the Royal College of Music and an MSc in Cognitive & Decision Sciences from University College London. She also holds a JD from Yale Law School.
Justin
Justin is a Computer Science (CS) PhD candidate at Carnegie Mellon University, where his work is focused on problems at the intersection of machine learning, statistics, and data privacy. He earned his BA in Math & CS from Columbia.
Junichi
Junichi studied mathematics at New York University. He earned his PhD at Carnegie Mellon University, specializing in the field of partial differential equations.
Arjun
Arjun is a PhD candidate in Computer Science at Carnegie Mellon. Previously, he earned his MS and BS in Computer Science, Computer Engineering, and Math Economics from UCLA.
Courtney
Courtney holds a BHA in Art and Anthropology from Carnegie Mellon and an MPhil in Social & Cultural Anthropology from Oxford, where she was a Rhodes Scholar. She is now a PhD student in Social Anthropology at Harvard.
Andrew
Andrew holds a BBA in Finance (GW), a Diploma in Economics (London School of Economics), and an MA in Economics (BU). He is an Economist for the USDOT and a Research Analyst for the Nat'l Bureau of Economic Research.
Dan
Testimonials
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“Dan explained topics very clearly and simply. It was worth the months of studying.”
Score went from 500 to 950
Eric Bryan -
“Daniel presents material and examples very well, maintains focus, improves clarity, precision and accuracy in descriptions of phenomena, mathematical representation, etc. Excellent conversation, patience, demeanor coupled with expertise. Great desire to learn and help. Daniel exceeded my expectations for what is an unusual pursuit by me in independent research and acquisition of knowledge.”
Don, Theoretical Solid State Physics Student -
“I have engaged over ten tutors in the past twenty years to help me self-study topology, differential geometry, general relativity, and QFT. All of them were very talented, but Dan is without question the "supremum of the set," in that he is the most knowledgeable and delightful. No question in his broad purview remains unanswered. He furthermore allows you to follow a non-linear learning path, if so desired, and sample any topic in which you are interested at any time. He always avails himself to unscheduled questions that come up as you study. However, the most wonderful of all of his many attributes is the fact that Dan conveys his love, enthusiasm and wonder for the spectacular physical universe around us. In short, Dan is the best. Look no further.”
Eric -
“Dan is an amazing tutor! He was extremely helpful when I took Electricity & Magnetism last year. He is very knowledgable and great at explaining difficult concepts”
David