Dr. Huang holds Master’s degrees in Electrical Engineering and Biostatistics. She received her PhD degree in Biostatistics at IUPUI with a focus on developing advanced AI algorithms for mining multi-omics data for Alzheimer’s disease biomarker discovery. Before joining IU, she was a staff member at the Food and Drug Administration (FDA).

Dr. Huang has a broad range of research projects spanning Alzheimer’s disease, oncology, and real-world data analytics as well as collaborating with Eli Lilly to support Phase III clinical trials, contributing statistical insight to ensure trial rigor and regulatory alignment.

Active research projects include method development involving longitudinal data modeling, text data mining, imaging biomarker identification, interpretability-enhanced AI, and multimodal data integration, which bridges statistical innovation with practical impact in clinical research and biomedical science.

Dr. Huang’s expertise in AI and experience at the FDA position her well for industry collaborations. Dr. Huang was recruited with AnalytiXIN funding in July 2024.