James Mcfarland
Executive Director, Data Science Machine Learning
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJames Mcfarland is a Senior Director of Data Science with 11 years of experience applying machine learning and large-scale biological data to accelerate therapeutic discovery and precision medicine. He has led teams of computational biologists and engineers at Generate:Biomedicines and the Broad Institute, driving data strategy for high-impact projects like the Cancer Dependency Map and interpretable models for drug sensitivity. Trained as a physicist with a PhD from Brown and further honed in data science at The Data Incubator, James blends rigorous quantitative modeling with hands-on method development in functional genomics and single-cell perturbation profiling. He is comfortable moving between foundational research and product-oriented engineering, having built tools for integrative tumor–cell line analysis and biomarker discovery. Based in Cambridge, MA, he brings a rare combination of deep neuroscience and physics roots with pragmatic leadership in biotech data science.
11 years of coding experience
15 years of employment as a software developer
Neuroinformatics, Neuroinformatics at Marine Biological Laboratories at Woods HoleData Science, Data Science at The Data IncubatorDoctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Brown UniversityBachelor’s Degree Physics, Bachelor’s Degree Physics at Pomona College
Github Skills (16)
inference6
wolfram-language3
cancer-genomics2
data-science2
mathematica2
ord2
terra2
hydrogen2
cdf1
nonlinear1
conda1
ipython1
machine-learning1
dvc1
cloud-computing1
Programming languages (2)
Github contributions (5)
cancerdatasci/demeter2
Mar 2018 - Apr 2020
Inference of gene dependency from RNAi screening datasets.
Contributions:37 commits, 23 pushes, 1 branch in 2 years 1 month
inference
jmmcfarl/neurocode
Feb 2015 - Dec 2015
Contributions:70 commits, 201 pushes in 10 months
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