Akhil Jalan

Research Engineer at Google DeepMind

New York, New York, United States
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Summary

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Senior
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Akhil Jalan is a research engineer at Google DeepMind in New York with nine years of experience applying machine learning to scientific and industrial problems. He completed a machine learning PhD at UT Austin with first-author publications at NeurIPS and ICML, and has practical R&D experience spanning bioprocess optimization, multi-omics transfer learning, and large-scale sensor analytics. His work at Ark Biotech produced measurable lab impact (notably an 89% increase in viable cell density and faster doubling times) and he has released open-source tools from a technical sabbatical that bridge biology and computational methods. Comfortable moving models from theory to deployed systems, he combines academic rigor with hands-on lab and instrumentation know-how, a background shaped by stints at startups, research labs, and industry.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at University of California, Berkeley
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at Austin
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Stackoverflow

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Github Skills (40)

python9
machine-learning9
deep-learning8
tensorflow8
graph8
magenta8
data-science7
music-generation7
neural-network7
terraform7
aws7
detector7
music7
terraform-module5
devops5

Programming languages (4)

C++GoJupyter NotebookPython

Github contributions (5)

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jacobakh/ML4CT

Dec 2017 - Feb 2018

Contributions:62 commits in 2 months
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:92 pushes in 4 years 1 month
templategithub-pages-templatemmistakesmistakesjekyll
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Akhil Jalan - Research Engineer at Google DeepMind