Gaurav Deshmukh

Bioprocess Modelling Lead at Lemnisca

Bengaluru, Karnataka, India
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Summary

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Top School
Gaurav Deshmukh is a bioprocess modelling lead with eight years of experience applying computational modelling, data science, and first-principles methods to solve chemical engineering problems. He holds a PhD from Purdue where he combined DFT, chemical engineering fundamentals, and graph neural networks to design alloy electrocatalysts, and completed a postdoc at Northwestern focused on multiscale modelling of small molecules and polymers. At Lemnisca he now leads bioprocess modelling efforts, translating advanced simulation and ML tools into actionable process insights. He has hands-on experience building scientific code and materials informatics workflows (including GNNs in PyTorch) and has collaborated closely with experimental groups to validate predictions. Beyond research, he writes technical and creative pieces for a large Medium audience on programming and mathematical modelling, reflecting his ability to communicate complex ideas to diverse audiences. Based in Bengaluru, he blends deep theoretical rigor with practical process engineering and software development experience.
code7 years of coding experience
bookBachelor of Chemical Engineering (B. Chem. Engg.), Bachelor of Chemical Engineering (B. Chem. Engg.) at Institute Of Chemical Technology
bookDoctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at Purdue University

Github contributions (5)

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gauravsdeshmukh/FlowPy

Jul 2018 - Jul 2021

Contributions:14 commits, 13 pushes, 1 branch in 3 years
Contributions:11 pushes, 1 branch in 5 years 3 months
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