Leveraging computational methods and data science to advance our understanding of diseases and contribute to public health through Large Language Models, Multi-modality, and Biomedical Data Analysis.
I am a 3rd year PhD candidate from the Institute for Health Informatics (IHI) at University of Minnesota, Twin Cities. My major is Health Informatics, Data Science track, and I am glad to be supervised by Dr. Serguei Pakhomov at the Cognitive Artificial Intelligence Research Lab (CAIR).
My research is fundamentally oriented towards leveraging computational methods and data science to advance our understanding of diseases and contribute to public health. By integrating cutting-edge technologies like Large Language Models (LLMs), Multi-modality, High-dimensional Multi-omics, and Causal Discovery, I aim to create actionable insights that can be translated into tangible health benefits and societal progress.
Get in touch! I'm always interested in discussing research collaborations, academic opportunities, or connecting with fellow researchers in health informatics and data science.
🎓 I passed my PhD preliminary exam and became a PhD candidate!
🎉 Our paper on benchmarking reasoning models was published in NPJ Digital Medicine!
🎉 Our paper was published in Science Advances!
🎉 Our paper was published in NPJ Digital Medicine!
🎉 Our work on Ensemble methods of LLM learning was published in JMIR!
🎉 Our work on Multi-modality risk prediction was published in JAMIA!
🏃♂️ I have finished my first ever Marathon event in DC!
Science Advances 11 (47), eadr1443
Journal of Medical Internet Research 27, e70080
npj Digital Medicine 8 (1), 409
Journal of the American Medical Informatics Association 31 (12), 2800-2810
Journal of Biomedical Informatics 158, 104730
May 2024 - Present
Aug 2023 - Aug 2024
Jun 2022 - Present