I am an Associate Professor of Computer Science and Engineering at University of Connecticut. My research interests center around machine learning and data science. Recently, I have focused on developing foundational, resource-efficient, and safe machine learning algorithms and models, particularly on graph and language data. Besides, I apply them to applications in various domains including healthcare, social media, science, and others. My works are majorly published in top conferences of machine learning (e.g., ICML, NeurIPS, and ICLR) and data science (e.g., KDD). I direct the
Machine Intelligence and Data Science (MINDS) Lab.
I have received some awards and honors such as the NSF CAREER Award (2024), the Frontiers of Science Award (2024), the AAAI New Faculty Highlight (2023), etc. Besides, my work won several Best Paper (Candidate) Awards in major conferences including CIKM 2021, WWW 2019, WAIM 2016, etc.
Before joining UConn, I was an Assistant Professor of Computer Science at Brandeis University. I received my PhD degree in Computer Science and Engineering at University of Notre Dame in 2020, advised by Professor Nitesh Chawla.
My family lives in the Greater New York area.