AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19
- Partha Suryanarayanan
- Ching-Huei Tsou
- et al.
- 2021
- Nature
Ching-Huei Tsou, Ph.D., is a senior research scientist and manager at IBM Research in the Algorithms and Applications department. He previously led IBM Research’s Biomedical Natural Language Processing (NLP) group in the Healthcare and Life Sciences department, where he directed multidisciplinary teams working at the intersection of artificial intelligence, healthcare, and life sciences. In 2026, he was recognized as an AAAI Senior Member for his longstanding contributions to artificial intelligence.
Dr. Tsou’s earlier research focused on machine learning and NLP for healthcare, including extracting clinical insights and generating concise summaries from unstructured patient records and biomedical literature to support clinical decision-making and accelerate biomedical research. More recently, his work has expanded into biomedical foundation models spanning diverse biological data modalities, including DNA sequences, single-cell RNA sequencing (scRNA-seq), and multi-omics data, with applications in understanding biological systems and accelerating drug discovery. He also serves as principal investigator for several joint IBM–Cleveland Clinic research projects focused on AI-enabled drug discovery.
His current research also explores emerging quantum computing approaches, particularly quantum optimization, hybrid quantum-classical methods, and the development and evaluation of algorithms for complex scientific and biomedical problems.
Prior to joining IBM, Dr. Tsou served as the principal software architect at LightPharma Inc., a Cambridge, Massachusetts-based software company specializing in pharmaceutical manufacturing process control. During the same period, he was also a research scientist at the MIT Auto-ID Laboratory.
Dr. Tsou holds a Ph.D. and M.Eng. in Information Technology from the Massachusetts Institute of Technology and a Bachelor of Science from National Taiwan University.
Creating cognitive insights from patient records at the point of care.