Dr. Sujeevraja Sanjeevi is Chief Technology Officer and Co-founder at OpsLab, a growth stage startup building automation software to ease the burdens of aviation resource management. He completed his PhD in Industrial Engineering at Texas A&M University, with his research focusing on developing cutting planes for general mixed integer programs. After a year of post-doctoral research at the University of California, Berkeley, he spent seven years at Sabre working on optimization solvers for large-scale crew and aircraft schedule recovery, as well as demand forecasting models for revenue management. In his current role at Opslab, Dr. Sanjeevi's team builds software platforms that use operations research and machine learning to solve complex operational planning, tracking, and recovery problems in airline operations and U.S. Air Force squadron operations. Dr. Sanjeevi is also an active researcher and collaborates with the Los Alamos National Laboratory. His research specializes in applying techniques from large-scale linear deterministic/stochastic/robust optimization, nonlinear global optimization, supervised machine learning and reinforcement learning to solve real-world problems in scheduling, vehicle routing, and inventory planning. He has published articles in top OR journals like Mathematical Programming, Discrete Optimization, and Discrete Applied Mathematics. He lives with his wife and 2 children in Phoenix, Arizona, and enjoys long-distance running and playing chess recreationally.
