Theja Tulabandhula, Ph.D.



Research Interests

I am broadly interested in data science and operations research methods, and their applications to multiple business domains. 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.


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 patent applications are listed on Google Scholar.