I grew up in Houston, Texas (hook 'em horns!) where I was introduced early to medicine via my father (dentist), uncle (psychiatrist), cousin (EMT), and family friends (Oncology, Radiology). My first foray into medical research came in the form of a summer internship at the Breast Cancer Center at Baylor College of Medicine.

As an undergraduate at NYU, I studied Computer Science. Subsequently, I went on to work at Citigroup, DoubleClick and Google where I helped create the infrastructure for the Google Prediction API (now the Cloud Machine Learning Engine).

This initial hands-on experience in machine learning led me to return to graduate school where I earned my PhD under the guidance of Rob Fergus and David Sontag.

After graduating, I returned to Google Research to work with Kevin Murphy where I co-wrote TensorFlow-Slim, now a major component of the TensorFlow library.

After nearly two years, I left Google to join 4Catalyzer where I'm working on making an impact on health care by applying machine learning to the medical imaging domain.