Ziv Goldfeld
My research is supported by the NSF CAREER Award, an NSF DMS Grant, an NSF-BSF CIF Grant, and the IBM 2020 University Award. Graduate Students and PostdocsPh.D. Students: Sloan Nietert, Theshani Nuradha (co-advised with Mark Wilde), Gabriel Rioux, Venkatkrishna Karumanchi, and Zhengxin Zhang. Postdocs: Haiyun He (joining Hong Kong University of Science and Technology in Guangzhou as an Assistant Professor). Alumni: Sreejith Sreekumar (Assistant Professor, Centralesupelec, University Paris-Saclay). Research InterestsI study mathematical and algorithmic foundations of machine learning and AI by integrating ideas from optimal transport theory, information theory, mathematical statistics, optimization, and applied probability. Some specific interests include:
Contact Information:Office: Frank H. T. Rhodes Hall, Room 335 Due to the large volume of emails that I receive, I typically cannot respond to unsolicited inquiries about student or postdoc openings, or research advice. Nevertheless, if you have a strong quantitative background and think your interests are aligned with mine, please feel free to contact me. |