Akhil Jalan
Research Engineer at Google DeepMind
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAkhil 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.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree Applied Mathematics, Bachelor's degree Applied Mathematics at University of California, BerkeleyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Texas at Austin
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
python8
music8
deep-learning8
tensorflow8
machine-learning8
music-generation8
magenta7
generative-art7
terraform7
graph7
neural-network6
infrastructure-as-code5
deep-neural-networks5
ml5
conda4
Programming languages (4)
Github contributions (5)
akhiljalan/conditioning-colliders
Sep 2017 - Nov 2025
Contributions:3 pushes, 1 branch in 8 years 3 months
jacobakh/ML4CT
Dec 2017 - Feb 2018
Contributions:62 commits in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.