Theja Tulabandhula, Ph.D.


I am broadly interested in designing and implementing machine learning, artificial intelligence and sequential decision making methods in consumer facing applications. I have worked on: (a) supervised learning in the presence of operational information, (b) transportation problems including scheduling and fair ride-sharing, (c) assortment optimization and consumer behavior modeling, (d) new product pricing and learning consumer utility functions, (e) recommendation system design with privacy and regret guarantees, and (f) several online and reinforcement learning problems.


Publications and Patents

In addition to below, you can also find my publications at Arxiv or DBLP or SSRN. For many of these works, source code is made available on GitHub. Further, a few of my patents (4+ granted) are listed on Google Patents.

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