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.
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.
Jule
Jule graduated from the University of Michigan with a BSE in Computer Science and a minor in Art and Design. She continued on to the PhD program at U of M, studying computer science and specializing in artificial intelligence.
Mitchell
Mitchell received a BS in Mathematics from MIT and was awarded the Jon A. Bucsela Prize. He is now pursuing a PhD in Mathematics at Harvard, where he studies various aspects of algebraic geometry.
Sam
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.
Harry
Harry graduated from WashU with an Economics and Mathematics double major. After working at the National Bureau of Economic Research, Harry began his PhD in Economics at NYU Stern School of Business.
Carol
Carol graduated with distinction from Yale University with a BS in Computer Science and Mathematics. She currently teaches math and coding at a K-12 enrichment school in Miami, Florida.
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.
Julius
Julius is an NSF Graduate Research Fellow and PhD candidate in Geometric Analysis at MIT. Previously at MIT, he earned a BS in Mathematics and Physics, receiving the Hartley Rogers Jr. Prize for one of his research projects.
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.