Zhengqi Gao


PhD student
Department of EECS
Massachusetts Insitute of Technology
E-mail: zhengqi@mit.edu

About me

Hi, I am a third year PhD student at MIT EECS, advised by Prof. Duane S. Boning. Previously, I obtained my M.S. and B.E. from School of Microelectronics, Fudan University, where I worked closely with Prof. Jun Tao and Prof. Xin Li (Duke Univ.) in the area of electronic design automation (specifically, Bayes methods for DFM). My current research interests lie mainly in design automation for photonic integrated circuits (What is it?), novel computing paradigm (e.g., KirchhoffNet), and applied machine learning. In the summer before coming to MIT, I was very lucky to work with Prof. Ron Rohrer on the adjoint method and Prof. Hang Zhao on multimodal learning. I interned at Baidu, Shanghai Qizhi Insitute, and Nvidia Research. My research has been recognized with several honors, including being named an ML and Systems Rising Star in 2024, an editor's highlight in Optica Photonics Research 2023, an ICLR’23 oral paper (top 5%), and the Biren scholarship (1 out of 3 nationwide) in 2020, among a few others.

Pin1: I dedicate one hour per week to mentor and offer suggestions to underrepresented students or anyone in need. Please fill in this form if you are interested.

Pin2: I am seeking an internship for the summer of 2025.


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Selected Publications

Machine learning

Design Automation

For a full publication list, please see my google scholar page.