Parth Laturia is a B.Tech Computer Science graduate from Indian Institute of Technology Bombay (after securing All India Rank 3 and 29 in JEE Mains and Advanced 2018 respectively), currently pursuing Masters in Finance at Princeton University. He worked as a Quantitative Research Strategist in the Fixed Income Division (E Trading) at Morgan Stanley for the last two years. 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). Post-Masters, Parth aims to join the quantitative finance industry, with the long-term goal of establishing a quantitative fund in India. An avid mountaineer and trekker, he enjoys reading philosophical and thriller novels, and playing badminton and cricket.