Maching Learning Engineer at Stripe
(since January, 2015)
I work mainly on improving our fraud prevention models.
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)
My research focused on studying the early universe using light from
- PhD in Astronomy from Columbia University, 2009
- MA and MPhil in Astronomy, Columbia University, 2007
- BA in Astrophysics from Swarthmore College, 2003
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),
Talk at DataGotham 2012