GUANGYI ZHANG

Hello! I am currently a research fellow at both Massachusetts General Hospital and Harvard Medical School, Harvard University. My current work is on liver disease diagnosis, drug discovery, and clinical trials with multimodal clinical data and imaging (e.g., fMRI, CT, US), active learning and human-in-the-loop techniques. I am a co-investigator of the NIH R01 Project. I conduct my research at the machine learning center. I was an AI researcher at the University of Toronto. My previous work lies in large language model development for cancer vaccine design, under the supervision of Prof. Hansen He.

I earned my Ph.D. degree in Artificial Intelligence from the Department of Electrical and Computer Engineering at Queen’s University in December 2022. It has been my great honor to work under the supervision of Prof. Ali Etemad. My previous research interests lie in the areas of electroencephalography, brain-computer interface (BCI), deep learning, affective computing, and semi-supervised learning. I first authored 10 papers (8 accepted, 2 journal submission under review) with more than 300 citations. For more publication information and source code, please visit my Google Scholar Profile and GitHub Repos. I have also been a reviewer of top-tier AI and BCI venues such as IEEE-TPAMI, IEEE-TCYB, IEEE-TAFFC, IEEE-TNNLS, IEEE-TNSRE, IEEE-TETCI, IEEE-TAI, Scientific Reports (Nature), Pattern Recognit. (Elsevier), ICPR, ACII, SMC, and an area chair of AAAI workshop. Beyond research, I won the 2nd Place in the EPiC Coding Competition held in April 2023.

Prior to beginning my Ph.D. study, I worked on bio-sensor design for the detection of palinesthesia status after anaesthesia care for infant patients, at Peking University People's Hospital in Beijing, China, under the supervision of Prof. Yi Feng. At the same time, I was also a researcher in Transparent Computing Lab, supervised by Prof. Yaoxue Zhang. Prior to that, I worked on bio-signals processing for muscle fatigue detection under the supervision of Prof. Evelyn Morin and received my master's degree. Throughout my undergraduate study, I mostly focused on power electronics and microelectronics.