Darrell
Darrell attended Purdue University, where she earned her BS in Physics, Mathematics, and Statistics and graduated with honors and Phi Beta Kappa. She is now a PhD candidate in Biophysics at Harvard University.
Victor Od.
Victor double majored in Complex Systems and Mathematics at Cornell, where he graduated summa cum laude and Phi Beta Kappa. He will next pursue a PhD in Applied Math.
Ashvin
Ashvin earned his BA in Mathematics at Harvard, receiving early election to Phi Beta Kappa, graduating summa cum laude, and winning the David Mumford prize. He also holds a PhD in Mathematics from Princeton.
Beth G.
Beth earned her BA in Human Biology and MA in Education from Stanford University. She is now in the PhD program in Animal Biology at UC Davis, where she studies the proteins involved in sperm-egg fusion.
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.
Torrin
Torrin triple majored at Oberlin College in Music Composition, Horn Performance, and Mathematics. He holds a Master's from the Manhattan School of Music and is currently pursuing an additional Master's degree from the Yale School of Music.
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.
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.
Abdullah
Abdullah is a Marshall Scholar pursuing a Master’s in Engineering at Oxford. Previously, he graduated Washington University in St. Louis with a double major in Biophysics and Chemistry. He will next matriculate at the Harvard-MIT Health Sciences and Technology (HST) program.
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.