Nathan Eddy work email
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Nathan Eddy personal email
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.
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Associate Director, Data ScienceBristol Myers Squibb Dec 2021 - PresentLawrence Township, Nj, UsData science leader in oncology, immunology, fibrosis. Leveraging large internal and external datasets spanning clinical data, imaging, time series, NLP, RWD, '-omics', and other modalities to generate meaningful insights driving drug development forward. Machine learning, predictive modeling, statistics, and AI applied to a broad portfolio of initiatives addressing anything from fundamental scientific research questions to enterprise operational challenges. -
Machine Learning Scientist IiFoundation Medicine Oct 2020 - Dec 2021Boston, Massachusetts, Us -
Machine Learning ScientistFoundation Medicine May 2020 - Oct 2020Boston, Massachusetts, Us
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Data Scientist, Machine Learning And AutomationFoundation Medicine Jan 2019 - May 2020Boston, Massachusetts, UsBuilding underlying infrastructure and machine learning models to enable the generation of insights at scale from terabytes of ultrahigh-res medical images in conjunction with genomic, clinical, and other streams of data. Implementation of modern computer vision techniques and best practices for varied use cases in digital + computational pathology. Cross-functional engagement between key stakeholders in R&D, product, technology, medical, and other teams to ideate scientific use cases and execute on ML solutions. Evangelize the use of modern statistical and ML methodology to drive value in oncology.
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FellowInsight Data Science Sep 2018 - Dec 2018San Francisco, Ca, UsDeveloped ACORN, a deep learning platform for codon optimization in synthetic biology. Built framework to enable training deep NLP sequence-to-sequence machine translation models leveraging 100,000+ target/label sequences across different biological expression platforms and to enable inference on unseen sequences. Served model to users via custom Flask application frontend on AWS tech stack. -
Postdoctoral Research FellowThe Center For Theoretical Biological Physics Apr 2018 - Sep 2018Built computational models leveraging experimental datasets to learn structure/function relationships of viral pathogens using molecular dynamics/monte carlo methodologies and high performance parallel computing. Unsupervised learning techniques and clustering to learn interpretable and meaningful underlying biological mechanisms from very high-dimensional datasets. Created and analyzed structural models of the chromosome using deep neural networks and statistical inference from genomic datasets.
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Graduate Research AssistantRice University Aug 2011 - Apr 2018Houston, Tx, UsCreated models to analyze large-scale functional motions in viral pathogens, resulting in testable predictions about structure/function relationships in influenza and other viral systems. Performed statistical analyses to distill coarse mechanistic information from a large number of atomic degrees of freedom in class I and class II viral fusion proteins. Built upon and customized code-base infrastructure to enable / simplify novel modeling schemes for varied use cases in computational chemistry.
Nathan Eddy Skills
Nathan Eddy Education Details
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Rice UniversityPhysics -
Rice UniversityPhysics
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Colorado School Of MinesEngineering Physics
Frequently Asked Questions about Nathan Eddy
What company does Nathan Eddy work for?
Nathan Eddy works for Bristol Myers Squibb
What is Nathan Eddy's role at the current company?
Nathan Eddy's current role is Machine Learning | Data Science.
What is Nathan Eddy's email address?
Nathan Eddy's email address is ne****@****ine.com
What schools did Nathan Eddy attend?
Nathan Eddy attended Rice University, Rice University, Colorado School Of Mines.
What skills is Nathan Eddy known for?
Nathan Eddy has skills like Computational Physics, Theoretical Physics, Statistical Physics, High Performance Computing, Mathematical Modeling, Matlab, Latex, Programming, Analytic Thinking, Nonlinear Dynamics, Research, Science.
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