Maching Learning Engineer at Stripe

(since January, 2015)

I work mainly on improving our fraud prevention models.

Past Positions

Data Scientist at Gerson Lehrman Group

(May 2012 - December 2014)

I built predictive models and recommendation systems.

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

(2010-2012)

My research focused on 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

Programming

My interests include: python (SciPy, NumPy, pandas, IPython), ruby, scala (scalding, brushfire), machine learning, topic modeling, Bayesian inference (probabilistic data analysis), markov chain Monte-Carlo algorithms (MCMC), data visualization (Matplotlib, d3), and git.

Machine Epistemology

Talk at DataGotham 2012

Astrophysics Publications