Abhilash Malipeddi
Postdoctoral Research Fellow at University of Michigan
Hyderabad, Telangana, India
Summary
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Senior🎓
Top SchoolAbhilash Malipeddi is a computational physicist and postdoctoral researcher with a decade of experience applying multiscale and data-driven methods to complex fluids, biofluidics, and renewable energy problems. He blends high-performance computing and statistical learning to tackle multphysics challenges, from rheology and microfluidics to grid-frequency time-series analysis developed during power-plant operations. His career spans academia and industry—PhD-trained research at George Washington University and current postdoc work at the University of Michigan—complemented by hands-on mechanical design and commissioning experience in power generation. Notably, he has applied machine learning to diagnose furnace clinker formation and to predict grid frequency excursions, showing a rare combination of theoretical modeling and practical engineering impact. Based in Hyderabad, he focuses on translating computational insight into scalable, experiment-linked solutions for complex soft-matter and energy systems.
10 years of coding experience
9 years of employment as a software developer
Indian Institute of Technology MadrasDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at The George Washington University - School of Engineering & Applied Science
Stackoverflow
121reputation
2kreached
1answer
0questions
Github Skills (25)
julia8
science8
typescript8
microsoft7
electron7
programming-language7
vscode-extension7
vscode7
machine-learning7
editor7
visual-studio6
linear-algebra6
hpc6
python6
visual-studio-code6
Programming languages (3)
Github contributions (5)
AbhilashReddyM/AbhilashReddyM.github.io
Dec 2015 - Jun 2024
Contributions:61 pushes, 1 branch in 8 years 7 months
AbhilashReddyM/GeometricMultigrid
Mar 2017 - Dec 2017
Contributions:15 commits, 17 pushes, 1 branch in 8 months
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