[resume] and [linkedin]
I’m a PhD in statistics experienced in all aspects of data science but with a particular expertise in experimentation. I most enjoy going from 0 to 80 and getting my hands dirty: I love working with production code and moonlighting as a data engineer. Big fan of the t-test, SQL and Spark.
My general philosophy towards data science is: simple methods are usually best. Clean data beats sophisticated techniques when it comes to speed, transparency, and robustness. Don’t do complicated unless you absolutely have to.
I’m currently a staff data scientist at LaunchDarkly, helping to build out their experimentation product.
I did a brief stint on the Growth team at Mercury.
Spent 5 years at Stripe prior to that where I worked on many different teams and projects, from card payment optimization, FX observability, dashboard multi-armed bandit optimization, and checkout funnel analysis and experimentation on Link.
Once upon a time I was a student at UNC-Chapel Hill where I worked on probability and networks with Shankar Bhamidi and Andrew Nobel. Here’s my thesis
I care a lot about having a positive impact on society and am always on the lookout for opportunities with non-profits or local government agencies. If you know of any interesting openings, please reach out.
Taking pictures has been an ongoing hobby of mine going back to high school. You can see some recent work here.
Sometimes I come across cute problems that I think about and feel are worth writing up: