
Dr. Ching-Huei Tsou is a Research Manager and Senior Research Scientist at the IBM Thomas J. Watson Research Center, where he leads the Biomedical NLP team in the Healthcare and Life Sciences department. Before joining IBM, he worked at the MIT Auto-ID Lab and in industry, applying machine learning to large-scale sensor data and designing enterprise software systems, experience that positioned him to bridge fundamental innovation with real-world applications.At IBM, Dr. Tsou began on the Jeopardy-winning Watson team, helping translate state-of-the-art natural language processing into healthcare solutions. Over the past decade, he has advanced AI for medicine through research spanning clinical NLP, biomedical representation learning, and multimodal foundation models. His work has improved the usability of electronic health records, supported global public health efforts during the COVID-19 pandemic, and produced open biomedical foundation models such as BMFM-RNA, BMFM-DNA, and the BioVERSE framework.Beyond research, Dr. Tsou has been an active leader in the AI community, mentoring students, shaping benchmarking standards, and fostering collaboration across academia, industry, and healthcare. He is committed to open, reproducible science and envisions biomedical AI as a cornerstone of precision medicine, bridging molecular and clinical insights to accelerate discovery, improve patient care, and deliver lasting benefits to society.
AWARDS:
The combination of increasingly powerful computers and AI offers the possibility to be able to detect, diagnose, and cure diseases like never before. At IBM Research, we’re working on creating software and AI systems that can convert reams of health data into useable information for clinicians the world over.
See more in the official website: https://research.ibm.com/topics/healthcare-and-life-sciences
BioVERSE Development Internship
The BioVERSE Development Internship offers a unique opportunity to contribute to an innovative platform at the intersection of biomedicine, artificial intelligence, and agentic workflows. As an intern, you will take a hands-on role in advancing the BioVERSE platform — an initiative dedicated to integrating biological data, modeling, and visualization tools to accelerate research, education, and discovery.
Your responsibilities may include developing data integration pipelines, enhancing visualization interfaces, contributing to scientific content, and defining and implementing benchmarking tasks (e.g., subsets of Humanity’s Last Exam, or HLE). Working closely with the BioVERSE core team, you will gain exposure to both the technical and conceptual foundations of computational biology. Depending on your background, you may focus on areas such as bioinformatics, multi-modal LLM architectures, agentic workflow design, or benchmarking task development.
This position is ideal for highly motivated graduate students eager to apply their skills to real-world biological and AI-driven challenges. Through mentorship, interdisciplinary collaboration, and applied research, you will help shape the next phase of BioVERSE’s evolution while deepening your expertise in digital biology and next-generation intelligence systems.