Deep Ganguli
Member Of Technical Staff at Anthropic
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDeep Ganguli is a machine learning scientist and software engineer with 12 years of experience building interpretable, fair, and scalable AI systems across academia, nonprofit, and industry. Currently a Member of Technical Staff at Anthropic, he blends research on societal impacts of AI with hands-on model and systems work informed by a PhD in computational neuroscience. His background spans deep learning, Bayesian methods, and large-scale data infrastructure (Spark, Kafka, Hadoop), with prior roles leading research at Stanford HAI and applied computational biology at the Chan Zuckerberg Initiative. At Stitch Fix and Metamarkets he shipped production ML and distributed systems, and he has a track record of convening interdisciplinary teams to translate biology and neuroscience insights into practical models and tools. Known for rigorous experimental design and a penchant for interpretable models, he often approaches ML problems with the analytical mindset of a neuroscientist turned engineer. Based in San Francisco, he combines academic depth with product-focused delivery to tackle the societal and scientific challenges of modern AI.
12 years of coding experience
11 years of employment as a software developer
BS, Electrical Engineering and Computer Science (EECS), BS, Electrical Engineering and Computer Science (EECS) at University of California, BerkeleyDoctor of Philosophy (PhD), Computational Neuroscience, Simoncelli Lab, Doctor of Philosophy (PhD), Computational Neuroscience, Simoncelli Lab at New York University
Github Skills (43)
python10
image-processing10
imaging10
preference10
image-segmentation10
transcriptomics10
pca9
druid8
robustness8
data-files7
image7
fairness-ml7
sample-data7
computer-vision7
deep-reinforcement-learning6
Programming languages (3)
Github contributions (5)
dganguli/robust-pca
Mar 2014 - Jun 2020
A simple Python implementation of R-PCA
Contributions:13 commits, 10 PRs, 6 pushes in 6 years 4 months
python-implementationpcapython
dganguli/pweb
Nov 2024 - Mar 2025
Contributions:93 pushes, 2 branches in 3 months
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