Damon is a doctoral student at MIT specializing in quantitative finance. With a strong interdisciplinary foundation in statistics, engineering, and computational science, his research leverages statistical and machine learning techniques to understand patterns in financial time-series data. Damon brings a rare blend of academic excellence and early achievement, having entered university at 16 and already co-authored multiple peer-reviewed publications.

Denis is a PhD candidate at Princeton University specializing in Quantitative and Computational Biology. His research examines developmental strategies and organizational principles across species using a fusion of mathematical modeling, long-term live imaging, and custom computational workflows. His work aims to uncover how organisms make strategic growth decisions, contributing novel insights to the field of developmental biology.

Eva Lestant is a PhD student at Stanford University specializing in development economics with a focus on the growth of small firms in urban areas. Before Stanford, she was a pre-doctoral fellow at SIEPR, collecting panel data in Abidjan, Côte d’Ivoire, and Addis Ababa, Ethiopia. She also conducted research at the CREST Center in Paris on the long-term effects of a national apprenticeship program in Côte d’Ivoire. Eva has teaching and mentoring experience, including a Stanford undergraduate development course TA role and mentoring a predoctoral fellow at the King Center, Stanford. She has also tutored students in Finance, Mathematics, Physics, and Chemistry.