Theja Tulabandhula, Ph.D.


I am broadly interested in designing and implementing machine learning and optimization methods. I have worked on theoretical and empirical aspects of: (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, and (d) several online and reinforcement learning problems.


Publications and Patents

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