News & Events

Jeffrey Morris, PhD, was featured in a New York Times article discussing the FDA’s decision to block publication of large COVID-19 vaccine safety studies and the importance of transparent scientific research.

AWS recently highlighted work led by Joost Wagenaar on scalable cloud-native infrastructure for biomedical research, featuring the Pennsieve platform as a model for secure scientific data management and collaboration at scale.

In a new STAT First Opinion, Charles E. Leonard argues that access to air conditioning should be treated as essential preventive care as extreme heat increasingly threatens people living with chronic diseases.

DBEI’s Bonnie Ky and Jinbo Chen have received an NHLBI R01 grant to develop better tools for predicting and reducing cardiovascular risk in men with prostate cancer.

CHIRP postdoctoral fellow Yajnaseni Chakraborti has received an NIH Pathway to Independence (K99/R00) Award to study how everyday endocrine-disrupting chemicals may affect fertility and early pregnancy.

DBEI is proud to congratulate Yong Chen, PhD, on being elected a 2026 Fellow of the Institute of Mathematical Statistics in recognition of his outstanding contributions to biostatistics and statistical science.

Brian Lee, PhD, is a new member of the Department of Biostatistics, Epidemiology, and Informatics whose work focuses on population brain health, including the developmental origins of autism and other neurodevelopmental conditions. In this Q&A, Brian shares what inspired his work, the real-world challenges it addresses, and what drew him to DBEI.

David Mandell, ScD, is a researcher in the Department of Biostatistics, Epidemiology, and Informatics whose work focuses on improving health care for people with or at risk of psychiatric or developmental disabilities, with a particular focus on autism. In this Q&A, David shares what inspired his work, the real-world challenges it addresses, and what he values most about DBEI’s collaborative environment.

Sriharsha Mopidevi, MS, is a software engineer and researcher in the AI-4-AI Lab within the Department of Biostatistics, Epidemiology, and Informatics whose work focuses on developing privacy-preserving AI systems for clinical research. In this Q&A, Sriharsha shares what inspired his work, the real-world challenges it addresses, and what he values most about DBEI’s collaborative environment.