Building systems that turn our telemetry data into valuable products.

Designed and built a scalable, high-precision map of lane-level vehicle flows for ADAS and autonomous cars

• Senior employee in early stage company that builds maps of infrastructure and representative trajectories for use by autonomous vehicles

• Designing accurate statistical models of roadway structure and traffic rules using GPS probe data

• Building software tools in Python, with data storage in PostgreSQL

• Specialized in theoretical and computational biophysics in the lab of Andrew Spakowitz in the Department of Chemical Engineering

• Identified critical properties that dictate protein self-assembly and transport through cell membranes

• Authored 4 peer-reviewed scientific manuscripts, published in Soft Matter and Biophysical Journal

• Developed computational models using Fortran and conducted detailed numerical analyses with Matlab and Microsoft Excel

Led weekly discussion sections, performed logistical tasks and mediated professor-student communication for 2 courses:

• 80 student undergraduate course: Energy: Chemical Transformations for Production, Storage and Use

• 10 student graduate course: Polymer Physics

• Recognized with the departmental TA award as one of the 2 best TA's among 40 candidates for the 2010-2011 school year