Dr. Shay Strong is the chief data scientist at OmniEarth and heads their analytics team where she applies her background in computational astrophysics to evaluate remotely-sensed imagery through deep-learning and machine-learning techniques. Her focus is on automating imagery land-classification and statistical prediction to support a number of OmniEarth’s analytics products including water resource management of drought-stricken regions.

Shay is also an adjunct physics lecturer at UMBC and, prior to OmniEarth, she was a senior staff scientist at the Johns Hopkins University Applied Physics Laboratory and researcher at the Lunar and Planetary Institute in Houston and Lowell Observatory in Arizona. She holds a PhD in Astronomy from the University of Texas at Austin and a BS in Physics from the College of Charleston.