Scholar
Geoffrey Schiebinger
Google Scholar ID: r1cF30oAAAAJ
University of British Columbia
Citations & Impact
Citations
2,421
H-index
19
i10-index
22
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Michael Smith Health Research BC Scholar Award (2022); Maud Menten New Principal Investigator Prize in Genetics (2021); CIHR Project Grant (2021), ranked 1st in Canada in Genomics Panel; New Frontiers In Research Exploration Grant (2020); NSERC Discovery Grant (2020); Burroughs Welcome Fund Career Award at the Scientific Interface (2018); Chan Zuckerberg Initiative: Human Cell Atlas (co-PI with Philippe Rigollet, 2018); Best contributed talk at the ETH Zurich Workshop on Statistical Challenges in Single Cell Biology (2017); First place in the Single Molecule Localization Microscopy Challenge organized by EPFL (2016); Honorable mention for best paper at CAMSAP (2015); NSF Graduate Fellowship (2011 - 2016); VIGRE Fellowship (2011 - 2012)
Research Experience
- Associate Professor of Mathematics at the University of British Columbia; Postdoc at the Broad Institute of MIT and Harvard and the MIT Center for Statistics + Data Science, working closely with Eric Lander, Aviv Regev, and Philippe Rigollet.
Education
- PhD: 2016, University of California, Berkeley, Statistics, Advisor: Benjamin Recht. BS and MS: 2011, Stanford University, BS in Mathematics (minor in Physics) and MS in Electrical Engineering.
Background
- Research Interests: The interplay between theory and experiment in natural science, particularly with new measurement technologies like single-cell RNA sequencing. Research Area: Analyzing time-courses of high-dimensional gene expression data using tools from optimal transport, probability, statistics, and optimization. Goal: To answer questions such as how a stem cell transforms into a muscle cell, a skin cell, or a neuron.
Miscellany
- In his spare time, he loves to go foiling.
Co-authors