Alexander Lenail
Postdoctoral Researcher at Harvard Medical School
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolAlexander Lenail is a postdoctoral researcher and computational systems biologist with 11 years of experience bridging software engineering and machine learning in genomics and disease modeling. He holds a PhD from MIT and has applied cloud-native infrastructure (Azure, Docker, Kubernetes, SLURM) and ML tooling (TensorFlow, scikit-learn) to large consortium projects like AnswerALS & NeuroLINCS. His background includes research internships at Google DeepMind and hands-on software roles at Google, Benchling, Coursera and Autodesk, giving him rare fluency across C++, Scala, and modern JavaScript front-ends. He’s an active open-source contributor — notably building publication-ready, interactive NN schema visualizations (NN-SVG) that make complex architectures accessible to researchers. Based in Palo Alto and currently at Harvard Medical School, he combines rigorous academic research with production-grade engineering to turn multi-omic data into reproducible computational pipelines. Colleagues rely on him for integrating experimental biology with scalable, user-friendly tooling that accelerates discovery.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computational Systems Biology, Doctor of Philosophy - PhD Computational Systems Biology at Massachusetts Institute of TechnologyBachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Tufts UniversityHigh School Diploma, High School Diploma at Palo Alto Senior High School
English, French, Spanish
Stackoverflow
13,732reputation
812kreached
24answers
90questions
docker-compose
top-1%
postgresql
top-1%
docker
top-1%
Github Skills (20)
javascript10
docker10
postgresql10
css10
docker-compose10
svg10
html10
d3js10
deeplearning-ai9
neural-network9
deep-learning9
diagram8
interval-tree6
flask6
docker-volume6
Programming languages (29)
Github contributions (5)
alexlenail/NN-SVG
Apr 2018 - Dec 2022
Publication-ready NN-architecture schematics.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:1 release, 2 reviews, 20 commits in 4 years 8 months
Contributions summary:Alexander primarily contributed to the development of UI components for visualizing neural network architectures. Their commits focused on implementing different styles for visualizing neural network schematics, including LeNet and AlexNet. They added interactive elements, such as controls for adjusting visualization parameters and downloadable SVG outputs, demonstrating expertise in front-end technologies like HTML, CSS, and potentially JavaScript/D3.js.
architectureschematicsmachine-learningdeep-learningdiagrams
fraenkel-lab/pcst_fast
Jan 2018 - May 2022
A fast implementation of the Goemans-Williamson scheme for the prize-collecting Steiner tree / forest problem.
Contributions:5 releases, 6 reviews, 4 commits in 4 years 4 months
prizeschemesteiner-treecollectinggraphs
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