Geoffrey Schiebinger Assistant Professor Department of Mathematics University of British Columbia geoff@math.ubc.ca gschiebinger@gmail.com CV My research is supported in part by a Career Award at the Scientific Interface from the Burroughs Welcome Fund. |

I am interested in the interplay between theory and experiment in the natural and mathematical sciences. My current research focuses on stochastic processes in developmental biology and cellular reprogramming. I am developing a mathematical model of development based on optimal transport, studying its theoretical properties, and using the model to study the dynamics of gene regulation.

I am actively recruiting graduate students, postdocs, and undergraduate researchers. To apply, please send an email to my UBC address with a paragraph about your research interests and your math background.

Before coming to UBC, I was a postdoc at the Broad Institute of MIT and Harvard and the MIT Center for Statistics + Data Science. My postdoc mentors were Eric Lander, Aviv Regev, and Philippe Rigollet.

I got my PhD in Statistics from UC Berkeley in 2016. Here is a link to my thesis on the mathematics of precision measurement. While at Berkeley, I was fortunate to be advised by Benjamin Recht, and also work with Martin Wainwright, Bin Yu, and Adityanand Guntuboyina. Before that, I did my undergrad at Stanford University, where I earned a B.S. in Mathematics (minor in Physics) and an M.S. in Electrical Engineering in 2011.

In my spare time, I like to go kite boarding!

2019W Term 1. Math 612D Topics in Mathematical Biology (Single Cell Analysis).

2019W Term 2. Math 318 Probability with Physical Applications.

I was the graduate student instructor for Statistics 153: Introduction to Time Series Analysis in the spring semester, 2014 at UC Berkeley.

G. Schiebinger*, J. Shu*, M. Tabaka*, B. Cleary*, V. Subramanian, J. Gould, A. Solomon, S. Liu, S. Lin, P. Berube, L. Lee, J. Chen, J. Brumbaugh, P. Rigollet, K. Hochedlinger, R. Jaenisch, A. Regev and E. Lander (2018). Reconstruction of developmental landscapes by optimal-transport analysis of single-cell gene expression sheds light on cellular reprogramming. Cell.

N. Boyd, G. Schiebinger and B. Recht (2017). The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems. SIAM Journal on Optimization. Our code is available here.

G. Schiebinger, E. Robeva and B. Recht (2017). Superresolution without Separation. Information and Inference, Oxford University Press.

G. Schiebinger, M. J. Wainwright and B. Yu (2015). The Geometry of Kernelized Spectral Clustering. Annals of Statistics. vol. 43, no. 2, pages 819-846.

A. Guntuboyina, S. Saha and G. Schiebinger (2014). Sharp Inequalities for f-divergences. IEEE Transactions on Information Theory. vol. 60, pages 104-121.

L. A. Warren, D. J. Rossi, G. Schiebinger, I. L. Weissman, S. K. Kim and S. R. Quake (2007). Transcriptional instability is not a universal attribute of aging. Aging Cell. vol. 6, pages 775-782.

A. Forrow, J.C. Hutter, M. Nitzan, P. Rigollet, G. Schiebinger, and J. Weed. Statistical Optimal Transport via Factored Couplings. AISTATS 2019.

M.E. Shiffman, W. Stephenson, G. Schiebinger, T. Campbell, J. Huggins, A. Regev, and T. Broderick. (2017). Probabilistic reconstruction of cellular differentiation trees from single-cell RNA-seq data. NIPS Workshop on Bayesian Computation.

A short version of Superresolution without Separation appeared in CAMSAP 2015. (full version published in journal, see above).

A short version of The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems appeared in CAMSAP 2015. (full version published in journal, see above).

Career Award at the Scientific Interface from the Burroughs Welcome Fund, 2018.

Chan Zuckerberg Initiative grantee (co-PI with Philippe Rigollet), 2018

Honorable mention for best paper at CAMSAP, 2015

NSF Graduate Fellowship, 2011 - 2016

VIGRE Fellowship, 2011 - 2012

Hertz finalist, 2011

Schiebinger, G. The Maximum Entropy Distribution of Orbiting Asteroids Forms a Belt, (2010). Supervised by Professor Thomas Cover.