Martin Gascon is a Principal Data Scientist with over a decade of experience applying physics-grade rigor to industrial energy problems, currently leading data science at Wärtsilä Energy in Washington, DC. With a PhD in Nuclear Physics and postdoctoral research at Stanford and Berkeley National Lab, he blends experimental design, Monte Carlo simulation and signal processing expertise with production ML and product management. He has built energy databases and web apps, led cross-functional teams to predict renewable impacts on fossil assets, and shipped consumer-facing data products such as TravelSafe during an Insight Data Science fellowship. Comfortable writing low-level instrument control code as well as scalable Python/SQL pipelines and cloud-deployed services, he bridges lab-to-production workflows that many data scientists struggle to connect. Colleagues rely on him for turning complex physical measurements into actionable models and for pragmatically integrating research outcomes into commercial energy solutions.
11 years of coding experience
8 years of employment as a software developer
M.S. in Science Physics, M.S. in Science Physics at Universidad de Zaragoza
PhD Nuclear Physics, PhD Nuclear Physics at Universidad de Santiago de Compostela
Contributions:45 pushes, 1 branch in 2 years 9 months
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