Jingshen Wang named Emerging Woman Leader in Data Science

Jingshen Wang, UC Berkeley School of Public Health associate professor of Biostatistics, was named a 2026 IMS Thelma and Marvin Zelen Emerging Women Leaders in Data Science Awardees by the Institute of Mathematical Statistics.

This award is given annually to three women data scientists who are within 10 years of completing their PhD.

The Institute wrote that Wang was being honored for her ”contributions to robust and trustworthy statistical methodology, particularly in causal inference, heterogeneous treatment effect estimation, and semiparametric modeling.”

“Her contributions have direct impact in medicine, economics, and social science, advancing data science methods that are both theoretically sound and practically actionable,” the institute’s award announcement went on to say.

“I’m deeply honored to receive the Zelen Emerging Women Leaders in Data Science Award,” said Wang. “This recognition reflects the support, mentorship, and collaboration of so many wonderful colleagues and students since I joined the UC Berkeley School of Public Health. I hope to continue contributing to the advancement of trustworthy and impactful data science that bridges rigorous methodology with real-world applications.”

The other 2026 honorees are Yang Chen of the University of Michigan and Pragya Sur of Harvard University.