The Faculty of Public Well being at UC Berkeley is happy to announce that Dr. Jinshen Wang has been awarded the celebrated Nationwide Science Basis Profession Award for analysis to develop three novel methods to studying therapy impact heterogeneity, which examines various therapy results for people or subgroups in a inhabitants.
Her work will open a brand new analysis connection between adaptive experiments and social welfare enchancment.
Dr. Wang is an assistant professor within the Division of Biostatistics at Berkeley Public Well being. She joined the college in 2019 and was named to the Forbes 30 Underneath 30 checklist in 2021.
“The Division of Biostatistics is extraordinarily pleased with the celebrated NSF award that Dr. Jingshen Wang has simply been awarded,” stated Dr. Alan Hubbard, chair of the Biostatistics Division. “Dr. Wang is a frontrunner in growing and understanding methodology associated to uncovering heterogeneity in therapy (or publicity) results in populations. Thus, her work is extremely necessary within the context of precision well being.”
“The funded proposal goals to develop a framework for experimental designs which can be optimized for estimating the heterogeneity of causal results of modifiable elements, comparable to therapies or public well being interventions,” Hubbard stated. “These design methods shall be relevant to a spread of examine sorts, together with medical trials, social experiments in biomedical sciences, public well being sectors, and on-line managed experiments in technological enterprises. This work is essential to harness trendy knowledge science strategies (comparable to AI) to assist in growing new interventions that may be robustly tailor-made to the particular background and desires of the person.”
“I’m honored to obtain the beneficiant assist from the NSF Profession award, which offers steady assist for me to develop my analysis agenda on growing adaptive experimental design methods from each theoretical and sensible views,” stated Wang. “Underneath the assist of this award, I additionally plan to combine analysis with schooling within the hopes of successfully speaking analysis findings with broader audiences.”