Uttara Chakraborty | Uttara is pursuing a PhD in EECS at MIT. She received her SB (2017) in EE and in physics, and her SM (2019) in EECS, both from MIT. Her current research interests include the modeling and statistical characterization of integrated photonic devices and systems. |
Zhengqi Gao  | Zhengqi Gao joined the group in September 2021 and is pursuing the Ph.D. degree in EECS at MIT. He received his B.E. and M.S. in microelectronics engineering from Fudan University in 2018 and 2021, respectively. His current research interests lie mainly in design automation for photonic integrated circuits, novel computing paradigm, and applied machine learning. (https://zhengqigao.github.io) |
Chih-Yu (Andrew) Lai | Andrew joined the group in January 2022 and is pursuing a Ph.D. degree in EECS at MIT. He received his B.S. (2017) and M.S. (2019) degrees in biomechatronics engineering from National Taiwan University. He worked in TSMC as a standard cell layout engineer prior to attending MIT. His interests include machine learning and quantitative modeling on time series, computer vision, semiconductor manufacturing, design automation, and bioelectronics. (https://chihyulai.com) |
Rachel Owens | Rachel joined the group in September 2022 and is pursuing the S.M. and Ph.D. degrees in EECS at MIT. She received her B.S. (2020) in EE from University of the Pacific before working as an electrical engineer at Raytheon Technologies. Her current research interests are primarily in the area of machine learning for semiconductor manufacturing. |
Fan-Keng Sun | Fan-Keng joined the group in September 2019 and is pursuing the S.M. and Ph.D. degrees in EECS at MIT. He received his B.S. majoring in EE and minoring in CS from National Taiwan University in 2019. His interests include machine learning and deep learning for time series and sequence modeling. |
Yu-Cheng Wu | Yu-Cheng Wu joined the group in September 2024 and is now pursuing S.M. and Ph.D. degrees in EECS at MIT. He received his B.S. in electrical engineering from National Taiwan University in 2019, where he worked on topics at the intersection of machine learning and electronic design automation. His current research mainly focuses on deep learning for general time series modeling and time series analysis for manufacturing applications. |