Webpage of Kaushik Sinha

I am an Associate Professor in the School of Computing at Wichita State University. I enjoy solving problems related to theoretical and applied machine learning, optimization and algorithms. I also apply machine learning techniques to solve health/medical informatics problems.

Before joining Wichita State, I spent two wonderful years in the Computer Science and Engineering department at University of California San Diego as a Postdoctoral Scholar. My mentors were Sanjoy Dasgupta and Kamalika Chaudhuri.

I received my PhD in Computer Science and Engineering from Ohio State University. My advisor was Misha Belkin.

I am an affiliated researcher at the Institute for Fundations of Machine Learning (IFML).

NEW:

I have opening for two PhD students in my research group starting Fall 2025. The ideal candidate should be proficient in Python programming, have a strong mathematical background, and have a bachelor’s and master’s degree in computer science.

1. The first position is in theoretical machine learning, where the goal is to develop and analyze machine learning algorithms and write proof-of-concept Python codes to demonstrate effectiveness such algorithms. The primary focus here is on analysis of algorithms. The ideal candidate for this position should be strong in algorithms and have a strong mathematical and statistical background.
2. The second position is in applied machine learning, where the goal is to develop machine learning algorithms and write Python codes for extensive evaluations of these algorithms. The ideal candidate for this position should be very strong in Python programming and have decent understanding of Algorithms.

If you are interested please send me an email to kaushik.sinha@wichita.edu with the subject line PhD position in theoretical machine learning, Fall 2025 or PhD position in applied machine learning, Fall 2025 as appropriate. Please send your cv/resume, all transcripts and two letters of recommendation.