I am a Tenure-Track Assistant Professor in the Department of Computer Science at Wake Forest University. Before that, I received my Ph.D. in Computer Science from Rice University, under the supervision of Dr. Xia (Ben) Hu. Besides, in industries, I have previously worked or interned with J.P. Morgan AI Research, Visa Research and Meta AI.
My research interests generally lie in the areas of Data Mining and Machine Learning. More specifically, I focus on the broad range of topics related to Trustworthy AI, with particular emphasis on Interpretable Learning and Model Explainability. My overall research goal is to make AI auditable, comprehensible, ethical, fair, responsible, robust, safe and verifiable. Additionally, I am also interested in Trustworthy AI downstream applications, including (but not limited to) Misinformation Detection, Recommender System, Health Informatics and Financial Forecasting, as well as its correlative intersections with Computer Vision (CV), Natural Language Processing (NLP) and Human-Computer Interaction (HCI). Due to the nature of my research, I am always open to interdisciplinary collaborations from other domains, such as Neurosciences, Psychology, Linguistics, Sociology and Cognitive Ethology.
I am actively recruiting self-motivated graduate and undergraduate students who have enthusiasm for generally defined Artificial Intelligence. Financial support is available for students who are intended to participate and contribute to publication-level research projects. Students with strong programming skills or solid mathematics/statistics backgrounds are highly preferred. If you are interested, please send me an email with your CV and transcripts attached. For Wake Forest students, please feel free to drop by my office.
For round you spins On a slow axis a world as vast And meaningful as any posed By great Plato's solitary mind
-- R. S. Thomas, "The Village"