Stripe, Machine Learning, 2015-2022

Machine Learning Engineer

(2021-2022: Responsible Machine Learning)

Founding engineer for Responsible Machine Learning, working across ML teams at Stripe to decrease systemic barriers to economic participation and equalize access to the internet economy.

(2020-2021: Payment Intelligence Optimizations)

Optimizing how payments are presented to card networks to maximize authorization rates while controlling impacts on costs and fraud.

Machine Learning Engineering Manager

(2018-2020: Merchant Forecasting)

Founding manager of the Merchant Forecasting team, focussing on merchant-level loss prevention.

Machine Learning Engineer

(2015-2018: Transaction Fraud / Radar, Merchant Modeling)

Transaction fraud modeling (Radar product), merchant fraud modeling, card testing detection.

Past Employment

Data Scientist at Gerson Lehrman Group

(2012 - 2014)

Recommendation systems to match clients with expert consultants.

Zwicky Prize Fellow in Astrophysics at ETH Zürich (Swiss Federal Institute of Technology)

(2010-2012)

Studying the early universe using light from distant quasars.

Education

• PhD in Astronomy from Columbia University, 2009
• MA and MPhil in Astronomy, Columbia University, 2007
• BA in Astrophysics from Swarthmore College, 2003

Machine Learning and Programming Experience

My experience includes: python (tensorflow, scipy, numpy, pandas, sklearn, jupyter), ruby, scala (spark, scalding), SQL, decision theory, machine learning, Bayesian inference (probabilistic data analysis), Markov chain Monte-Carlo algorithms (MCMC), data visualization (Matplotlib, d3, ggplot).

Machine Epistemology

Talk at DataGotham 2012

Astrophysics Publications