Feng Li
Advisor- Informatics
Indianapolis, Indiana, United States
Summary
👤
Senior🎓
Top SchoolFeng Li is an informatics advisor and PhD-trained researcher with 11 years of experience building and optimizing high-performance computing and scientific workflow systems for large-scale drug discovery on Cloud and HPC platforms. At Eli Lilly he progressed from senior lead engineer to advisor, applying model-driven approaches to accelerate discovery workflows and productionize performant compute pipelines. His doctoral work and IBM Almaden internships produced practical systems—KVFS, NVMeStore, and CO-PAGER—that demonstrate deep expertise in storage-aware performance modeling and userspace I/O for data-intensive workloads. Comfortable bridging research and engineering, he blends rigorous performance analysis with hands-on implementation to tune end-to-end scientific workloads in real-world production environments. Based in Indianapolis, he brings a rare combination of academic rigor and applied systems engineering to drug discovery infrastructure.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Purdue UniversityBachelor of Engineering - BE, Computer Science & Technology, Bachelor of Engineering - BE, Computer Science & Technology at Huazhong University of Science and Technology
Github Skills (83)
benchmark10
autocomplete10
language-server-protocol10
forecast10
noaa10
component-based10
java10
checker10
simulation10
weather10
feed9
meteorology9
vim-plugin9
linter9
vim9
Programming languages (7)
Github contributions (5)
fengggli/comanche
May 2018 - Aug 2019
comanche
Contributions:214 pushes, 50 branches, 47 comments in 1 year 2 months
fengggli/fengggli.github.io
Sep 2017 - Sep 2024
Contributions:86 pushes, 4 branches, 1 comment in 7 years 1 month
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