Sahil Loomba
Cambridge, Massachusetts, United States
Summary
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SeniorSahil Loomba is a neuroscience-focused ML researcher with a decade of experience in connectomics and large-scale electron microscopy data reconstruction. He is currently a Theory Fellow at HHMI's Janelia Research Campus, applying machine learning to map human and primate brain connectivity. Previously, he was a Research Scientist at the Max Planck Institute for Brain Research in Frankfurt, developing data-driven methods for neural circuit reconstruction. His doctoral work at Radboud University, earned cum laude, explored how high-resolution EM networks reveal brain evolution and cognitive capabilities. He is a Schmidt Science Fellow at MIT IDSS and maintains a GitHub presence that highlights his cross-disciplinary fellowship and computational neuroscience contributions. By bridging biology and ML, he translates millions of neural contacts into tractable models that advance our understanding of brain function.
11 years of coding experience
Github Skills (16)
probability5
machine-learning4
pytorch4
probabilistic-graphical-models4
python4
statsmodels4
parallel3
cython3
probabilistic-models3
probabilistic3
science3
data-science2
pandas2
pymc32
probabilistic-programming2
Programming languages (1)
Github contributions (5)
sloomba/covid19-misinfo
Oct 2020 - Feb 2021
Contributions:43 commits, 18 pushes in 3 months
sloomba/connectivity
Oct 2018 - Nov 2022
Contributions:85 pushes, 1 branch in 4 years 1 month
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