I pursued advanced studies at École Centrale Paris in France and Stanford University at the Institute of Computational and Mathematical Engineering, specializing in artificial intelligence and applied mathematics.
My academic accomplishments led me to a research assistant role at SLAC National Accelerator Laboratory, where I collaborated with Dr. Ryan Coffee in the Linac Coherent Light Source department. At SLAC, I developed advanced deep learning models to analyze X-ray free-electron laser experiments, enhancing our understanding of atomic-scale processes. These models significantly improved real-time data processing capabilities and adapted dynamically to experimental conditions, contributing to scientific infrastructure, energy research, and technological innovation.
After completing my studies, I joined C3 AI as a senior data scientist, where I am developing end-to-end machine learning and deep learning models for the C3 AI Energy Management application. This solution integrates data from industrial facilities to monitor, optimize, and predict energy usage—helping to reduce costs, lower GHG emissions, improve operational reliability, and optimize the electrical grid in the U.S. and beyond. I also lead the deployment of these AI models for clients globally, driving their sustainability and energy efficiency initiatives.