About Me
Hello! I am a fifth-year Ph.D. candidate in computer science at the University of California, Davis, and a graduate student researcher at Tagkopoulos Lab and AI Institute for Next Generation Food Systems.
My Research
I develop AI-driven solutions for interdisciplinary problems, such as information extraction, disease prediction, and precision nutrition. I specialze in machine learning, large language models, and knowledge graphs.
More About Me
My biggest interest is combat sport. Since 2021, I have been training mixed martial arts (MMA) and Brazilian jiu-jitsu (BJJ).
I can speak Mandarin and Japanese natively.
Latest News
- 2024-10: I published a journal paper as a co-first author at Frontiers in Artificial Intelligence - Predicting Clinical Trial Success for Clostridium difficile Infections Based on Preclinical Data. (Link) (GitHub)
- 2024-10: I published a journal paper as a co-first author at Scientific Reports - Prediction of Adolescent Depression from Prenatal and Childhood Data from ALSPAC Using Machine Learning. (Link) (GitHub)
- 2024-08: I published a journal paper as a co-first author at Computers in Biology and Medicine — FoodAtlas: Automated Knowledge Extraction of Food and Chemicals from Literature. (Website) (Link) (GitHub)
- 2024-03: Thank you, UC Davis Graduate Group in Computer Science, for the PhD Fellowship Award ($20,000)!
- 2023-08: I published a journal paper with collaborators from UC Davis Medical Center and West Coast Metabolomics Center at Biomedicines — Profile Characterization of Biogenic Amines in Glioblastoma Patients Undergoing Standard-of-Care Treatment. (Link) (GitHub)