Parth Laturia is a B.Tech Computer Science graduate from Indian Institute of Technology Bombay (IIT-B) (after securing All India Rank 3 and 29 in JEE Mains and Advanced 2018 respectively). He completed his Masters in Finance at Princeton University in May 2026 and was awarded with the Princeton University Academic Fellowship. He worked as a Quantitative Research Strategist in the Fixed Income Division (Electronic Trading) at Morgan Stanley from 2022 to 2024 and will be joining a reputed hedge fund (as a Quantitative Researcher) in New York after graduation. He has published papers on converting Instructional Documents to Explanatory Videos, on Reinforcement Learning using the Notakto game and on Semi Supervised Data Programming (SPEAR). Eventually, Parth plans to establish a quantitative fund in India. An avid mountaineer and trekker, he enjoys reading diverse novels, and playing badminton and chess.