Kunal Pattanayak

Kunal Pattanayak is a Quant Equity Strategist at Goldman Sachs, specializing in Modeling and Simulation within Quant Equity Solutions as well as Liquidity Risk Strategy. Prior to this role, Kunal served as a PhD Candidate at Cornell University, receiving the McMullen Fellowship and presenting research at the Sloan-NOMIS Conference, with interests in inverse reinforcement learning and adversarial machine learning. Additional experience includes positions as a Graduate Teaching Assistant and Research Engineer Intern at Cornell University, a Teaching Assistant at the Indian Institute of Technology, Kharagpur, and a Firmware Engineer at Qualcomm. Kunal holds a PhD in Electrical and Computer Engineering from Cornell University and an Integrated Bachelor's and Master's degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology, Kharagpur.