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.
Robert L.
For decades, Robert has been helping students pass tests in the brokerage industry from Series 3 to 87. He's built on a background of regulatory and brokerage experience to augment classroom and tutoring sessions, working with senior executives and those breaking into the field. He holds an MBA (finance track) from NYU Stern and a BA in Economics from Georgetown University.
Angela O.
Angela graduated from Georgetown University with a BSBA in finance and economics in 2015 and is currently pursuing an MD at NYU Grossman Long Island School of Medicine with plans to practice pediatrics.
Justin O.
Justin graduated magna cum laude with a degree in Computer Science from Georgetown University. He now works as a software engineer at the Bank of New York Mellon.
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.
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.
Virginia
Virginia graduated from Georgetown University with degrees in accounting and finance, obtained her CPA, and went on to work in public accounting and financial consulting in New York City. She is currently pursuing a Master’s in Public Policy at the Harvard Kennedy School.
Brandon H.
Brandon currently teaches at Georgetown University. He holds a PhD in Cultural Anthropology from Princeton, a JD from Georgetown University, and an MA and BA in Latin American Studies from UT at Austin.
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.
Nate L.
Nate earned a triple major in Biochemistry, Cognitive Sciences, and Psychology at Rice University, his MD/PhD at Georgetown University, and his PhD in Neuroscience at the National Institutes of Health. He is now starting his neurology residency at Stanford and will begin his fellowship in neuroimmunology at Johns Hopkins in 2025.