Esteban Cisneros
Assistant Professor at University of Tennessee Space Institute
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolEsteban Cisneros is an assistant professor and computational scientist with a decade of experience applying high-performance computing, physics-informed ML, and uncertainty quantification to turbulent flows and combustion. He holds a PhD in Theoretical & Applied Mechanics from the University of Illinois and advanced predictive modeling at Princeton, where his work improved shock–flame interaction forecasts by an order of magnitude and accelerated codes on GPUs. At Bayer he translated physical principles into data-driven crop and epidemiology models, developing thermodynamically consistent ML and reduced climate models from modal decompositions. He blends deep domain expertise in turbulent combustion and combustion chemistry with practical skills in model reduction, flow visualization, and scalable code. Comfortable moving between academic research and industry impact, he often pairs rigorous physics with modern ML to make complex, noisy systems more predictable. Based in New Jersey, he brings a rare combination of high-fidelity simulation experience and production-minded data science.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical and Applied Mechanics, Doctor of Philosophy - PhD, Theoretical and Applied Mechanics at University of Illinois Urbana-Champaign
Spanish, English
Github Skills (14)
code-generation9
meta-analysis8
ecology7
kinetics6
modeling-tool6
transport5
python5
modeling5
toolbox5
thermodynamics4
numpy2
code-transformation2
python-extension2
dag1
Programming languages (2)
Github contributions (5)
ecisneros8/redkinUQ
Jun 2016 - Jan 2017
Contributions:13 pushes, 2 branches in 7 months
illinois-ceesd/PyPrometheus
Sep 2020 - Dec 2020
Source code generation for chemical kinetics
Contributions:14 pushes in 2 months
code-generationchemistrychemicalkineticschemical-kinetics
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