Ph.D. Students on the Job Market
A number of ORIE Ph.D. students are looking for employment opportunities.
Raul's research lies at the interface between operations research and machine learning, with a focus on developing algorithms for efficient data collection. Recently, his work has centered around the design and analysis of Bayesian optimization algorithms for problems exhibiting a nested structure. His algorithms have found application in a wide range of domains, such as risk-averse simulation optimization of COVID-19 testing policies, multi-objective portfolio optimization with user preferences, and reinforcement learning-based robot control. He is currently looking for postdoctoral and faculty positions for the next academic year.
Chamsi's research focuses on algorithm and incentive design for large-scale, real-world marketplaces, with applications to integrated mobility systems. Using tools from applied probability, statistics and optimization, she is interested in combining theory and data-driven insights to develop practically meaningful tools for the design and operations of people-centric systems. She is seeking a faculty position for the next academic year.
Amy B.Z. Zhang
Amy’s research focuses on developing and analyzing approximation algorithms to solve dynamic programming problems, specifically by combining the low-rank infrastructure of state aggregation with PDE analysis, to obtain efficiency and guarantee simultaneously. She also has strong interest in recommender systems, in terms of both the technical and societal aspects, and working to produce solutions that could advance both. She is looking for opportunities to research and build technical solutions in impact-driven teams, especially in machine learning, optimization, and reinforcement learning, starting Fall 2022.
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