Leo Selker
I'm a PhD student in the Global Opportunity Lab at the UC Berkeley School of Information, advised by Joshua Blumenstock. I use tools from data science, statistics, and economics to study and address humanitarian challenges.
I hold an MS in applied mathematics from the University of Washington and a BA in mathematics from Pomona College.
selker@berkeley.edu
CV
Research
Roshni Sahoo, Joshua Blumenstock, Paul Niehaus, Leo Selker, Stefan Wager. What Would it Cost to End Extreme Poverty?
[paper, website, media]
We study poverty minimization via direct transfers, framing this as a statistical learning problem while retaining the information constraints faced by real-world programs.
Kaestner, A., Sam Nelson, Leo Selker. Parity Biquandle Invariants of Virtual Knots.
[paper] Authors ordered alphabetically
Topology and its Applications, 209, 207–219.