Department of Biomedical Informatics & Data Science

Yale Biomedical Informatics and Data Science (BIDS) is advancing biomedical research at Yale School of Medicine and Yale New Haven Health System through Yale Biomedical Informatics and Computing (YBIC). Led by distinguished faculty, YBIC provides researchers with essential access to data, specialized services, and high-performance computing resources to support diverse studies. Read more.

Yale researchers now have enhanced access to the MarketScan Research Databases, providing extensive person-specific clinical data from 2014–2023. With nearly 10 billion records from large employers, health plans, and public organizations, MarketScan covers inpatient, outpatient, prescription drug, and carve-out services — all while maintaining strict privacy standards.

On Saturday, February 22, 2025, the CB&B MS students gathered for a social event at BAR New Haven, creating a wonderful opportunity for connection and conversation. Leigh Clemens, CBB Master’s Program Registrar, stopped by to drop off cookies and chat with the students, who shared their excitement about visiting BAR for the first time. They were eager to try its famous mashed potato and bacon pizza, along with other menu favorites. One student shared, “…it was such a nice opportunity to connect with everyone and enjoy some great conversations (and food!)”—a perfect way to bring the CB&B community together outside the classroom!

Andrew Loza, MD, PhD, recently joined Yale BIDS as an Instructor of Biomedical Informatics and Data Science. His research centers on applying statistical and deep learning methods to improve patient care, particularly by enhancing predictive models and refining data collection processes. Dr. Loza also emphasizes how his experience at the VA Connecticut Healthcare System, combined with the resources at Yale BIDS, will further advance his work. He recently shared his insights in a Q&A. Read more.

To celebrate the arrival of spring and foster interdepartmental connections, masters and PhD students gathered for the third and final Data Dump social mixer on April 11. Hosted by Kevin Jin (left), a second-year PhD student in the CBB program and member of the Clinical NLP Lab - the event took place on the 14th floor of 100 College and brought together students from six different programs. With food, drinks, activities, prizes, and lively music (including a healthy dose of Lady Gaga), the mixer offered a fun and inclusive space for students to connect, unwind, and celebrate community across departments.

Authors: Hyunghoon Cho, David Froelicher, Jeffrey Chen, Manaswitha Edupalli, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, Jean-Pierre Hubaux & Bonnie Berger

Paper Link: https://www.nature.com/articles/s41588-025-02109-1

Authors: Tsung-Ting Kuo, Rodney A. Gabriel, Jejo Koola, Robert T. Schooley & Lucila Ohno-Machado

Paper Link: https://www.nature.com/articles/s41467-025-56510-9

Authors: Deborah R. Levy , Sarah C. Rossetti , Cynthia A. Brandt , Edward R. Melnick , Andrew Hamilton , Seppo T. Rinne, Dana Womack , Vishnu Mohan  

Paper Link: https://www.thieme-connect.de/products/ejournals/abstract/10.1055/a-2434-5177

Yale Biomedical Informatics & Computing (YBIC) is hosting an exclusive hands-on workshop series designed to advance AI and data-driven research in healthcare. Registration is required for both workshops.

Tuesday, April 29, 2025 | Developing LLMs for Medical Applications: Data, Computing, and Methods – Held at 101 College Street, this workshop will introduce researchers and practitioners to Yale’s Computational Health Performance (CHP) infrastructure, a state-of-the-art platform supporting AI-driven medical innovations. Attendees will learn how to set up access, configure their environment, and fine-tune Large Language Models (LLMs) for medical applications. Registration is now closed.

Thursday, May 22, 2025 | Real-World Evidence Generation from Medical Claims Data – Also taking place at 101 College Street, this session will equip participants with the skills to leverage MarketScan data for clinical research, enabling them to generate impactful real-world evidence from medical claims data.

For more details and to register, visit the YBIC events page.

Tsung-Ting "Tim" Kuo, Ph.D., recently served as a panelist at the Yale Blockchain Conference 2025.

The panel, titled “Decentralization in Healthcare Research,” brought together thought leaders exploring how blockchain is transforming biomedical innovation. Dr. Kuo shared insights from his research on decentralized data management and blockchain applications in healthcare, highlighting its potential to enhance data sharing, privacy, and security in biomedical research.