James Stevenson
Staff Research Engineer at Google DeepMind
New York, New York, United States
Summary
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Senior🎓
Top SchoolJames Stevenson is a Staff Research Engineer at Google DeepMind with 12 years of experience applying machine learning and quantum mechanics to chemistry and materials problems. He pioneered the QRNN architecture for ML force fields and led teams producing fast, stable all-atom reaction models used across druglike molecules and metalorganic systems. His research bridged academia and industry—from a Cornell PhD that produced the surprising “azotosome” membrane hypothesis for Titan to senior ML science leadership at Schrödinger. At DeepMind he now focuses on CBRN risk mitigation, bringing domain knowledge in physics-forward models to safety-critical AI deployment. He also teaches process simulation at Cooper Union, combining rigorous theory with practical simulation skills. Colleagues know him for turning deep physical insight into scalable ML tools that meaningfully reduce the cost of quantum-level prediction.
12 years of coding experience
Bachelor of Engineering (BE) Chemical Engineering, Bachelor of Engineering (BE) Chemical Engineering at The Cooper Union for the Advancement of Science and ArtPhD Chemical Engineering, PhD Chemical Engineering at Cornell University
Spanish
Github Skills (33)
rdkit10
cheminformatics10
python9
chemistry8
physics8
machine-learning7
computational-chemistry7
k8s7
batch-processing7
quantum-computing6
gitops6
cloud-native6
argo6
kubernetes6
quantum-chemistry6
Programming languages (4)
Github contributions (5)
jminuse/lammps-min-params
Mar 2016 - Jun 2016
Contributions:87 commits, 73 pushes, 1 branch in 3 months
jminuse/smrff
Jun 2015 - Aug 2015
Contributions:146 commits, 99 pushes, 1 branch in 1 month
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