Summary
Gina Escobar is an Artificial Intelligence Associate Principal at Accenture, where she leads data-driven solutions for complex operations challenges in telecommunications and beyond. She holds a PhD in Physics from Northeastern University and was a Sloan-Swartz Fellow in Computational Neuroscience at Brandeis, bringing deep quantitative rigor to applied AI. With over a decade of experience as a data scientist, including a tenure at ViaSat, she designs predictive models, algorithms, and statistical methods that translate data into tangible business value. Based in San Francisco, she blends academic rigor with practical delivery, guiding teams to scale AI from prototype to production. Her unique mix of physics, neuroscience, and industry consulting enables her to tackle diverse problems with curiosity and rigor.
10 years of coding experience
14 years of employment as a software developer
Bachelor of Science, Physics, Bachelor of Science, Physics at Universidad Nacional de Colombia
Diploma, Condensed Matter Physics, Diploma, Condensed Matter Physics at Abdus Salam International Centre for Theoretical Physics (ICTP)
PhD, Physics, PhD, Physics at Northeastern University
English, Spanish