Oleg Sofrygin

Oleg Sofrygin is a Sr Applied Scientist at Uber, specializing in causal inference in networks, high-performance computing, and machine learning applications in causal inference. They previously served as a Postdoctoral Research Fellow in Biostatistics at the University of California, Berkeley, where their work focused on the Healthy Birth, Growth, and Development Knowledge Initiative, and conducted research using large-scale electronic medical records at Kaiser Permanente. Oleg earned a PhD in Biostatistics & Bioinformatics from the University of California, Berkeley, with a dissertation on causal inference and semi-parametric estimation in network-dependent data. Their prior experience includes roles at Policy Analysis Inc and significant contributions to the development of open-source statistical software.