Summary
Rohan G is a Scientist III at the Allen Institute with a decade of experience applying representation learning and image analysis to neuroscience datasets. He develops multimodal and multi-species foundation models for brain-cell characterization, builds graph networks to integrate molecular data with anatomical frameworks, and designs feature-selection and segmentation methods for spatial transcriptomics and morphology workflows. Trained as a physicist (PhD, Northeastern; dual degree, IIT Bombay), he blends quantitative rigor with practical ML engineering to move single-cell and imaging research from noisy experiments to reproducible, product-ready tools. Notably, his work spans both generative models for multimodal single-cell data and applied signal processing for photometry, reflecting a rare combination of modeling depth and experimental acumen.
10 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Bombay
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Northeastern University