Javad Noorbakhsh
Consultant at The Jackson Laboratory
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJavad Noorbakhsh is a computational biologist and consultant with nine years of experience applying mathematical modeling, AI/ML, and bioinformatics to translate high-dimensional biological data into actionable insights. His work spans industry and academic labs—including Kojin Therapeutics, the Broad Institute, and the Jackson Laboratory—where he led omics and imaging projects, built graph neural networks, and established assay pipelines that accelerated hit discovery and target nomination. Trained as a physicist (PhD in Biophysics/Systems Biology), he brings a rigorous theoretical foundation to practical problems in proteomics, transcriptomics, genomics, cell painting, and histology imaging. He has formal management experience and a track record of mentoring trainees who went on to top computational biology programs, and he excels at bridging preclinical and clinical data to identify sensitive cellular populations for drug development. Notably, he has combined self-supervised and few-shot learning approaches on GPUs to iterate molecular design models and integrate diverse data modalities for translational impact. Based in Boston, he is seeking roles that value both hands-on technical contribution and collaborative leadership at the interface of biology and computation.
9 years of coding experience
6 years of employment as a software developer
MSc Physics, MSc Physics at Sharif University of TechnologyAmirkabir University of TechnologyPhD Physics (Biophysics/Systems Biology), PhD Physics (Biophysics/Systems Biology) at Boston University
Persian, English, Arabic
Github Skills (123)
python10
cancer-genomics10
data-manipulation10
tqdm10
terra10
deep-learning10
meter10
ord10
dataframes10
pandas10
neural-network10
wolfram-language10
data-science10
tensorflow10
data-analysis10
Programming languages (7)
Github contributions (5)
javadnoorb/iranmap
May 2017 - Mar 2019
Contributions:33 commits, 27 pushes, 1 branch in 1 year 10 months
javadnoorb/pandas
Mar 2018 - Sep 2019
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:5 PRs, 107 pushes, 12 branches in 1 year 6 months
polarspythondatalabeled-datamanipulation
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