Nathan Eddy
Machine Learning | Data Science
- Role
- Director Data Science at Bristol Myers Squibb
- Location
- Denver, CO, US
- LinkedIn followers
- 500 followers
About Nathan Eddy
Leveraging AI to solve problems in biology and health. Experienced data science professional passionate about the use of ML and deep-learning tools to tackle open-ended challenges and drive value through actionable insights.
Experience
Director Data Science
Aug 2025 — Present
Leading teams in oncology and cell therapy and previously leading initiatives spreading across immunology/fibrosis, neuroscience, and CV. Leveraging large internal and external datasets spanning clinical data, imaging, time series, NLP, RWD,\'-omics\', and other modalities to generate actionable insights driving drug development forward. Machine learning, predictive modeling, statistics, and AI applied to a broad portfolio of initiatives addressing early translational research questions, medical, RWE through post-marketing.
Education
Colorado School of Mines
Bachelor of Science (BS), Engineering Physics
2008 — 2011
Rice University
Master of Science - MS, Physics
2011 — 2015
Rice University
Doctor of Philosophy (PhD), Physics
2015 — 2018
Skills
- Theoretical Physics
- Statistics
- Research
- Molecular Modeling
- Science
- High Performance Computing
- Statistical Physics
- Analytic Thinking
- Machine Learning
- Molecular Dynamics
- Matlab
- Mathematical Modeling
- Programming
- Nonlinear Dynamics
- Viruses
- Dimensionality Reduction
- Latex
- Computational Physics
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