Assistant Professor at University of Michigan-Dearborn
Edmonton, Alberta, United States
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Summary
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Senior
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Srijita Das is an Assistant Professor and machine learning researcher with 11 years of experience focused on reinforcement learning, inverse reinforcement learning, and sequential decision-making applied to real-world problems. After a postdoctoral stint at the University of Alberta and PhD work spanning Indiana University and UT Dallas, she now leads research and teaching at the University of Michigan–Dearborn. Her background blends academic rigor with industry experience from Cognizant and Capgemini, giving her a practical edge in translating theory into deployable solutions. She is particularly interested in decision-making under uncertainty and has sustained research momentum through interdisciplinary collaborations across North American institutions. Based in Edmonton, her profile reflects a commitment to mentoring the next generation of AI practitioners while advancing principled RL methods.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD (transferred from Indiana University), Doctor of Philosophy - PhD (transferred from Indiana University) at The University of Texas at Dallas
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Indiana University Bloomington
Bachelor of Technology (B.Tech.), Computer Engineering, Bachelor of Technology (B.Tech.), Computer Engineering at West Bengal University of Technology
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Srijita Das - Assistant Professor at University of Michigan-Dearborn