I lead a team of data scientists who design and analyze experiments to improve user interfaces, product functionality, and application performance. We conduct applied research aimed at developing innovative experimental designs and improving metric sensitivities and other facets of AB testing.

● Designed and analyzed a variety of AB experiments to improve member experience, ranging in focus from onboarding and recommendation systems to user interface refinements.● Socialized test results and other analytical findings with product managers and other technical and non-technical partners.● Developed a within-user testing methodology that led to drastic improvement in metric sensitivity and reduction in experimental time.● Built an internal framework that was widely adopted for standardizing data pipelines, calculating metrics, and visualizing results across multiple tests.

● Developed Hopper, www.hoppr.me, a Python-based web app to optimize route planning given multiple destinations and business rating preferences.● Utilized Yelp API and Foursquare API to obtain 60,000 business listings in the Bay Area, and MapQuest API for geocoding and distance information.● Cleaned and visualized data with Pandas, stored records in MySQL database.● Employed a logistic regression classifier to recommend additional locations by using Yelp features with Foursquare labels.● Deployed web app using AWS, RDS, Flask, Javascript, Bootstrap, and Google Maps API.

● Designed and constructed an ultra-high vacuum chamber, trap, and electronics for confining ions.● Programmed experimental control software in Python for complex ion trapping experiments using PyQtand asynchronous framework Twisted.● Performed numerical Monte Carlo simulations of interacting quantum systems with Cython.● Analyzed collected data in NumPy and Scipy to determine the quantum state of ion motion by fitting tomodels of atom-laser interaction.● Published results in peer-reviewed journals including Nature Physics and Physical Review Letters.● Recipient of Department of Energy Science Graduate School Fellowship.

● Developed an efficient numerical integration technique in Matlab to study magnetic plasma confinement.● Analyzed data from DIII-D tokamak to improve suppression of plasma instabilities.● Earned award at American Physical Society conference for best undergraduate poster.