I am a data scientist at Uber with formal training as a computational research scientist.
Prior to joining Uber, I completed my postdoctoral appointment at Sandia National Laboratories - California and immersive data science training at Zipfian Academy (now Galvanize, Inc.). My research focused on computational approaches to materials science and mechanical engineering problems. I have studied many materials phenomena and material behavior through molecular dynamics (MD) simulations, fluids density functional theory, and machine learning.
My current interests are in autonomous driving, connected cars, routing logistics, traffic simulation, and other vehicular technologies.
In addition to a broad background in math, science, and engineering disciplines, I have extensive experience in numerous python libraries, MPI parallel computing, various versions of SQL, machine learning algorithms, web crawlers, etc. I have experience using Ubuntu, Red Hat, Chrome (dev mode), Windows, and Mac operating systems.
Data Scientist (Sept 2014 - present)
Data Science Fellow (May 2014 - August 2014)
· Gaining extensive experience in data science tools
SANDIA NATIONAL LABORATORIES - CALIFORNIA
Thermal/Fluids Science & Engineering