Haiyun He
(Pronunciation: /ˈhaɪyuːŋ ˈhɜː/, Pronouns: she/her/hers)
Postdoc Associate, Center for Applied Mathematics, Cornell University
(Taken at Cornell Slope)
Hi! I am currently a postdoc at Cornell University, working with Prof. Ziv Goldfeld from ECE and Prof. Christina Lee Yu from ORIE. I am honored to be funded by the Center for Applied Mathematics postdoctoral fellowship. Before joining Cornell, I obtained my PhD degree in Electrical and Computer Engineering from National University of Singapore in Sep. 2022, advised by Prof. Vincent Y. F. Tan.
My recent research interests lie in the intersection of information theory and machine learning, including but not limited to:
- Machine learning and statistical learning theory
- Hypothesis testing
- Inference and estimation
- Wireless communications
If you are interested in collaborating with me, please do not hesitate to drop me an email (at the bottom) or drop by 657 Rhodes Hall, Ithaca, NY !
News
| 09/09/2024 | Going to attend Workshop II: Theory and Practice of Deep Learning at IPAM, UCLA between Oct. 14-18. |
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| 08/30/2024 | Invited to give a talk about our recent work in the Math Department of Wayne State University on Oct. 02, 2024 (Wednesday, 02:30 - 03:30 pm in FAB 1146). Thank Prof. Yan Wang and Prof. Rohini Kumar for the invitation! |
| 04/09/2024 | One paper (part of our recent work) accepted to ISIT 2024 in Athens, Greece. Prof. Ziv Goldfeld will be presenting our work in Athens. Say Hi to him! |