I am a faculty member at Duke University's Pratt School of Engineering and lead the AI Master of Engineering program. I teach courses in machine learning, deep learning and large language models. I am also the faculty lead for the annual Duke AI Hackathon.
DeepScholar is the AI-powered productivity platform for researchers that accelerates the time-consuming aspects of scholarly research - navigating grant opportunities, performing literature reviews, automatically extracting insights from research papers and more - so that researchers can focus on research.
I led the Weather Analytics business of the tech company DTN from 2015-2019, and worked in the business prior. My team developed, commercialized and supported predictive analytics and machine learning products which predicted the impact of weather on infrastructure, transportation and agriculture. Some of the products my team developed are the Storm Impact Analytics system which predicts power outages for electric utilities, and the Flight Route Alerting engine which predicts turbulence and helps airlines optimize flight safety.
