Sebastian Bernasek is a Data Scientist with a decade of experience applying chemical engineering intuition and quantitative modeling to complex systems ranging from molecular biology to industrial-scale energy. He designs physics- and thermodynamics-constrained models, analyzes real-world and scraped datasets, and translates results into decisions that have influenced corporate strategy, generated patents, and advanced biological knowledge. His work spans steady-state and dynamic processes across scales, combining lab and field experiment design with computational prediction. Sebastian is particularly interested in emerging renewable energy technologies and biological decision-making—asking which innovations will scale and which mechanisms are ripe for intervention. Based in Incline Village, NV, he blends rigorous academic training from Northwestern with a hands-on curiosity that keeps him exploring widely applicable problems.
Contributions:3 releases, 424 commits, 2 PRs in 3 years 2 months
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