Kirk Swanson
Applied Scientist at Amazon Web Services (AWS)
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolKirk Swanson is an Applied Scientist at AWS with 11 years of experience applying deep learning and probabilistic modeling to real-world problems, spanning molecular modeling, materials science, and production ML systems. He has moved from academic research—developing normalizing flows, graph neural networks, and Monte Carlo sampling tools for 3D molecular geometries—to building scalable ML services at AWS, demonstrating fluency from PyTorch research code to production deployment. His background blends rigorous math and physics (BA with honors) with dual MS degrees in Molecular Engineering and Computer Science, enabling him to translate domain science into performant models. Notably, he has led small research teams, published first-author work on neural interpretations of materials data, and previously traded global macro strategies using quantitative analysis, showing a rare mix of scientific, engineering, and quantitative finance instincts. Based in the San Francisco Bay Area, he combines deep technical breadth with practical product impact across research and cloud-scale ML.
11 years of coding experience
7 years of employment as a software developer
High School Diploma, General Studies, High School Diploma, General Studies at Bronxville High SchoolMaster of Science - MS, Molecular Engineering, Master of Science - MS, Molecular Engineering at University of ChicagoBachelor of Arts (B.A.), Mathematics with Honors and Physics, Bachelor of Arts (B.A.), Mathematics with Honors and Physics at Williams CollegeProgramming languages (2)
Github contributions (5)
ks8/glassML
Jan 2019 - Jul 2019
Contributions:108 commits, 92 pushes, 1 branch in 6 months
ks8/machine-learning-glasses
Aug 2017 - Nov 2018
Contributions:66 pushes, 2 branches in 1 year 3 months
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