Ashwin Venkataraman

Ashwin Venkataraman is an Assistant Professor of Operations Management at the Naveen Jindal School of Management, University of Texas, Dallas. He holds a Ph.D. in Computer Science from NYU's Courant Institute, advised by Srikanth Jagabathula and Lakshminarayanan Subramanian. His research focuses on demand prediction, choice modeling, and machine learning applications in operations management and retail analytics.

• Education: Ph.D. in Computer Science (NYU, 2018); Master's and Bachelor's degrees not explicitly stated

Research interests include nonparametric demand estimation, feature-based choice models, and leveraging unobserved factors in decision-making systems. His work spans commodity pricing forecasting, crowdsourcing system optimization, and educational technology platforms like CollectiveTeach.

Recent articles explore advancements in tree logit models, stochastic preference frameworks, and data-driven demand prediction techniques. These contributions address scalability challenges in large-scale systems and improve accuracy through algorithmic innovations.

• Awards: Honorable Mention for INFORMS Dantzig Dissertation Award (2019), NYU GSAS Dissertation Fellowship (2017-18), Jacob T. Schwartz Fellowship (2015)

His work integrates theoretical rigor with applied impact, including collaborations on retail analytics and commodity market forecasting. No explicit grant details or lab affiliations are mentioned, but contributions to the TreeLogitEstimation repository indicate active engagement in collaborative research.