Explore professors working in statistical machine learning and related research areas. Use YourScholar to discover research opportunities and identify professors whose work aligns with your academic interests.
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Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. He received his Masters in Mathematics from Arizona State University, and ...
Quanquan Gu is an Associate Professor of Computer Science at the University of California, Los Angeles (UCLA) Samueli School of Engineering, where he conducts research in machine learning, data mining, and optimization algorithms with applications spanning deep learning, reinforc...
Dr. Héctor Muñoz-Avila is a professor in the department of Computer Science & Engineering at Lehigh University. Muñoz-Avila returned to Lehigh in July 2025 after serving as Program Director at the National Science Foundation's (NSF) Information and Intelligent Systems (IIS)...
Kirthevasan Kandasamy is an assistant professor in the Department of Computer Sciences at the University of Wisconsin-Madison, working on topics in machine learning. He is also affiliated with the Department of Statistics. He is a recepient of an NSF CAREER Award (2025). His rese...
I am an assistant professor in the Department of Computer Science at Yale University, with a secondary appointment in the Department of Statistics & Data Science. My research interests are in the design and analysis of algorithms for machine learning, in particular for problems i...
I am Pratt & Whitney Associate Professor of the School of Computing, a courtesy faculty of the Department of Electrical & Computer Engineering, University of Connecticut. I am also affiliated to Institute for Advanced Systems Engineering, Before joining Uconn, I was a postdoc res...
I am an Associate Professor in department of Computer Science and Engineering at the University of Connecticut (UConn), joining Fall 2015. Before joining UConn, I was a Research Associate in the Center for Biomedical Informatics (CBMI) at Harvard Medical School (HMS). I received...
Professor Chen is interested in security, machine learning and software engineering.His group focuses on applying statistical machine learning to problems in security and program analysis, and on the robustness and explainability of machine learning.
I am an assistant professor of Computer Science at Yale University and I am also affiliated with the Yale FDS Institute. Before Yale, I was a postdoc at the EECS Department of UC Berkeley working with Michael Jordan. I received my PhD from the EECS Department at MIT where I wa...
I am an Assistant Professor in the Department of Computer Science at the University of Arizona in sunny Tucson Arizona. Before joining UA I completed my PhD in Computer Science at Brown University with Erik Sudderth. I also held a postdoc position at MIT CSAIL with John Fisher II...
Obtained BSc in Information and Computing Science from Southeast University (2007), followed by an MSc in Finance from the University of Ulm (2011). He completed an MSc and PhD in Statistics at the University of Alberta (2017) under the supervision of Dr. Linglong Kong and Dr. Iv...
I am an Assistant Professor of Statistics in the Department of Computer Science and Statistics at the University of Rhode Island. Before joining URI, I was a Postdoctoral Research Scientist in the Department of Statistics at Columbia University, where I had the great privile...