Ritvik Vasan
Senior Research Scientist, AI X Imaging at Biohub
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRitvik Vasan is a senior research scientist specializing in AI-driven imaging and computational biophysics, currently leading AI x Imaging efforts at the Biohub after a multi-year research role at the Allen Institute for Cell Science. He combines machine learning, applied mathematics, and software engineering to build practical tools—such as the modular CytoDL toolkit—for complex 2D/3D image-to-image transformations used by the community. With a PhD-trained background from UC San Diego and over a decade in computational biology, he has authored multiple first-author papers and co-developed widely used open-source Python packages. His work has appeared in high-impact journals including Nature and has won competitive honors like the FISP fellowship and several innovation prizes. Ritvik’s career blends hands-on engineering, peer-reviewed research, and entrepreneurial productization—he even spun a cellphone-microscopy venture for malaria diagnosis during his early research. Colleagues value him for translating deep quantitative models into usable, reproducible software that accelerates biological discovery.
8 years of coding experience
6 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceUniversity of California, San DiegoNational Public School
Hindi, Kannada, English
Github Skills (22)
geometric-deep-learning9
representation-learning9
pytorch9
autoencoder9
variance9
graph-neural-network9
graph-convolutional-networks9
deep-learning8
benchmarking8
image-translation8
variational-autoencoder8
time-series7
machine-learning7
generative-adversarial-network7
microscopy7
Programming languages (2)
Github contributions (5)
AllenCell/cvapipe
Aug 2020 - Oct 2020
Contributions:22 commits in 2 months
AllenCellModeling/CVAE_testbed
Aug 2019 - Sep 2019
A research testbed on conditional variational autoencoders using Gaussian distributions as input
Contributions:70 commits, 9 PRs, 53 pushes in 1 month
variational-autoencoder
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