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Geoffrey Schiebinger is an Associate Professor in the Department of Mathematics at the University of British Columbia. He earned his PhD in Statistics from the University of California, Berkeley in 2016, where he focused on precision measurement. During his doctoral studies, he was advised by Benjamin Recht and collaborated with faculty including Martin Wainwright, Bin Yu, and Adityanand Guntuboyina. Prior to his PhD, he completed his undergraduate studies at Stanford University, earning a B.S. in Mathematics with a minor in Physics and an M.S. in Electrical Engineering in 2011. Dr. Schiebinger's research interests include the interplay between theory and experiment in natural science. His group is known for developing mathematical tools for analyzing time-courses of high-dimensional gene expression data, utilizing techniques from optimal transport, intersection probability, statistics, and optimization. He is engaged in probing significant biological questions related to stem cell transformation and cellular reprogramming. Dr. Schiebinger has held a postdoctoral position at the Broad Institute of MIT and Harvard and the MIT Center for Statistics and Data Science, where he worked closely with notable scientists such as Eric Lander and Aviv Regev.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.