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Xianqi Li

Assistant Professor | College of Engineering and Science: Department of Mathematics and Systems Engineering

Program Chair of Operations Research

Contact Information

Expertise

Generative AI Models; Linear/Nonlinear Optimization Methods; Statistical Inference ; Medical Image Analysis

Personal Overview

My principal research interests are in the areas of optimization, machine/deep learning, and data analytics. My research is mainly focused on designing models and algorithms with theoretical performance guarantees for challenging problems arising in imaging informatics and data analytics leveraging computational optimization techniques and machine/deep learning methods. 

I joined the Department of Mathematical Sciences at Florida Institute of Technology as a tenure-track assistant professor in 2021. Prior to this, I was a postdoctoral research fellow at the Department of Radiology, Mass General Hospital, Harvard Medical School from 2018 to 2021. I received my Ph.D. Degree in Applied Mathematics from the Department of Mathematics at University of Florida under the supervision of Prof. Yunmei Chen in May, 2018. My thesis Topic is "Fast first-order optimization methods with applications to inverse problems". I also obtained a master degree from the Department of Electrical and Computer Engineering at University of Florida in May, 2015 with speciality in machine/deep learning.

I am looking for highly-motivated students interested in collaborating on any of the topics mentioned above. If you're interested, please feel free to send me an email at x[lastname]@. hrfjk.com. Together, we can embark on a rewarding and enjoyable research journey!.