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Career

· Assistant Professor, Johns Hopkins University2023–
· Postdoctoral Researcher, California Institute of Technology2019–2023
· PhD in Mathematics, University of Texas at Austin2013–2019
· Bachelor's Degree in Mathematics, University of Pittsburgh2009–2013

Publications (12)

Stochastic geometry to generalize the Mondrian Process
SIAM Journal on Mathematics of Data Science · 2020
18
cited
Couplings for determinantal point processes and their reduced Palm distributions with a view to quantifying repulsiveness
Journal of Applied Probability · 2018
12
cited
Facets of spherical random polytopes
Mathematische Nachrichten · 2019
9
cited
Optimal Regularization for a Data Source
Foundations of Computational Mathematics · 2022
7
cited
Minimax Rates for High-Dimensional Random Tessellation Forests
Journal of machine learning research · 2021
6
cited
Reach of repulsion for determinantal point processes in high dimensions
Journal of Applied Probability · 2017
5
cited
Thin-shell concentration for zero cells of stationary Poisson mosaics
Advances in Applied Mathematics · 2018
5
cited
The stochastic geometry of unconstrained one-bit data compression
Electronic Journal of Probability · 2018
4
cited
End-to-End Optimization of High-Throughput DNA Sequencing
J. Comput. Biol. · 2015
2
cited
Spectrahedral Regression
SIAM Journal on Optimization · 2021
2
cited
MINIMAX RATES FOR STIT AND POISSON HYPERPLANE RANDOM FORESTS
2021
Repulsion of determinantal point processes and stationary Poisson tessellations in high dimensions
2019
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