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.
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.
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.
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.
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.
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.
Dev
Dev holds a PhD in Computational Math from Princeton University. He has worked at Meta/Instagram, NASA, BlackRock and has previously run a machine learning startup backed by the NSF, Microsoft, and Amazon.
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.
Jadyn
Jadyn is a Physics PhD student at Stanford University. Previously, he earned his MA in Education and BS in Physics from Villanova University.
Raj
Raj holds a BA in Applied Mathematics with a minor in Global Health and Health Policy from Harvard (magna cum laude, Phi Beta Kappa). He is now an MD/PhD student at Harvard-MIT.
Raksit
Raksit earned his BA in Linguistics at Yale (Phi Beta Kappa, summa cum laude), and is now a PhD candidate at UC Berkeley. His research focuses on understanding language change by carrying out experiments using laboratory techniques.
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.
Maya
Maya graduated Columbia University with dual degrees in Biology and Computer Science. She began her first year at the Harvard-MIT MD/PhD program (Health Sciences and Technology MD track) in 2020.
Josephine
Josephine double-majored in Physics and Mathematics at MIT. She's now an Applied Physics PhD candidate at Stanford University, where she hopes to uncover the mechanisms governing material properties.
Caelin
Caelin holds a BS in Chemical Engineering and an MS in Computer Science (Stanford). He worked at Tesla in solar power/energy storage, and at Boston Consulting Group. He's pursuing his MBA at Harvard.
Lydia
Lydia studied Molecular Biology and Global Health at Princeton, graduating summa cum laude with the Molecular Biology Thesis Prize. She's now pursuing her MD at Washington University in St. Louis.
Jack
Jack graduated summa cum laude and Phi Betta Kappa from Tufts with a BA in Mathematics. After conducting research in cognitive neuroscience at MIT, he earned his Phd in Theoretical Computer Science at Harvard.
Eric
Eric is a medical student at the UPenn Perelman School of Medicine. He graduated from Harvard summa cum laude and Phi Beta Kappa with a BA in Chemical and Physical Biology and Statistics.
Chang
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.
Paul
Paul earned a BA and MA in Mathematics at UPenn (Phi Beta Kappa, summa cum laude), and received the Department's two highest awards for an undergraduate. He is currently a PhD student in Mathematics at MIT.
Emily Ei.
Emily graduated summa cum laude with a BA in Mathematics and a minor in Economics from Dartmouth. After working at the Federal Reserve Bank for two years, she is now a PhD student in Economics at UC Berkeley.
Jeff
Jeff is an MS candidate in Computer Science at NYU, concentrating on Machine Learning. He graduated from Columbia with a BA in East Asian Languages and Cultures (summa cum laude, Phi Beta Kappa).
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.
Rachel
Rachel is an Economics PhD student at Princeton. She earned her BSc in Economics & Computer Science at Duke (Phi Beta Kappa, summa cum laude), and her MSc in Economics & Finance at Barcelona Graduate School of Economics.
Ben
Ben is a PhD student in Economics at UC Berkeley. Prior to grad school, he earned a BA in Applied Mathematics from Harvard and worked for two years as a predoctoral fellow in the Harvard Economics department.
Caroline
Caroline joined Bain & Company full-time in 2013, and is now a Senior Associate Consultant in Bain's NY office. Before Bain, she interned at Goldman Sachs and in the US Senate, and earned her BA in Economics & Public Policy at Brown.