Cameron Stewart
Senior Software Engineer at Tempus AI
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolCameron Stewart is a Senior Software Engineer and biostatistician with eight years of experience applying advanced statistical, machine learning, and high-performance computing techniques to complex scientific and public-health problems. He has built and optimized large agent-based simulation systems—from rewriting R workflows into cloud-ready Python applications to parallelizing models with 20+ ML submodels—helping produce multiple peer-reviewed publications and policy-ready analyses. At Johns Hopkins he led end-to-end pipelines that turned EHR data into analytic-ready longitudinal COVID-19 datasets and developed novel density-forecasting and causal-inference methods for epidemiological modeling. Now at Tempus AI he combines this domain expertise with production software engineering to deliver scalable, data-driven solutions. He also contributes technical tutorials to the popular ESPResSo molecular dynamics project, reflecting a knack for turning complex simulation tools into accessible learning resources. Based in Chicago, he brings a puzzle-solver’s curiosity to both high-impact health questions and playful corners like sports and e-sports analytics.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Physics, Master of Science - MS Physics at University of StuttgartBachelor of Science - BS Physics, Bachelor of Science - BS Physics at Michigan State University
English, German
Github Skills (8)
python10
scientific-computing10
documentation10
molecular-dynamics-simulation7
molecular-simulation7
dynamics7
cpp4
cplus4
Programming languages (2)
Github contributions (5)
espressomd/espresso
Oct 2017 - Aug 2018
The ESPResSo package
Role in this project:
Technical Writer
Technical WriterContributions:12 commits, 5 PRs, 2 comments in 10 months
Contributions summary:Cameron's commits primarily focus on creating and translating tutorials within the ESPResSo package. These tutorials introduce users to various features and functionalities, specifically targeting charged systems and raspberry electrophoresis simulations. The contributions involved translating existing tutorials into ipypresso format and fixing tutorial structures, significantly improving the educational resources available for users.
physicssoft-matterpythonmolecular-dynamicsscientific-computing
cameron-stewart/espresso
Oct 2017 - Aug 2018
The ESPResSo package
Contributions:2 PRs, 14 pushes, 4 branches in 10 months
espressifespressoparadoxsnapesp32
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