Moshir Harsh

Specialist Postdoctoral Research Fellow at Max Planck Institute of Molecular Physiology

Boston, Massachusetts, United States
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Summary

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Moshir Harsh is a specialist postdoctoral research fellow with nine years of experience at the intersection of statistical physics, machine learning, and quantitative biology, now based in Boston. He develops AI-driven methods—including LLMs, VAEs, diffusion and flow-matching models—for early clinical disease risk assessment and multi-omics-driven discovery of cancer drug targets. His work spans end-to-end pipelines from LC-MS and sequencing data to uncertainty-aware inference and deployable surveillance programs in collaboration with hospitals and federal partners. Earlier research introduced memory-aware statistical physics tools for stochastic biochemical dynamics and shipping a Python package that demonstrated state-of-the-art performance. Moshir combines deep theoretical rigor with practical engineering to operationalize ML in biomedical settings, and his track record includes interdisciplinary projects across Max Planck, EMBL, DESY and Harvard/Broad. He is seeking opportunities to translate quantitative research into scalable solutions that uncover early disease signals and novel therapeutic strategies.
code9 years of coding experience
job1 year of employment as a software developer
bookMaster of Science - MS, Physics, Master of Science - MS, Physics at Ecole normale supérieure
bookBachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Indian Institute of Science (IISc)
bookStep by Step High School
bookDoctor of Philosophy - PhD, Theoretical Physics, Doctor of Philosophy - PhD, Theoretical Physics at The University of Göttingen
languagesHindi, German, English
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Github Skills (24)

mass-spectrometry7
jupyter-notebook6
python6
ms-data6
deconvolution6
matplotlib6
algorithms5
openms4
ssreflect4
linux4
moments4
windows4
systems-biology4
stochastic-processes3
sbml3

Programming languages (5)

JuliaC#C++RustPython

Github contributions (5)

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btemoshir/TrafficJam

Nov 2017 - Jan 2018

Contributions:21 commits, 11 pushes, 1 branch in 2 months
Contributions:17 pushes, 2 branches in 11 months
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