Parmanand Sinha
Computational Scientist HPC Infrastructure
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolParmanand Sinha is a computational scientist specializing in HPC infrastructure who brings nine years of experience at the nexus of geospatial science, spatial statistics, and large-scale computing. Based in Chicago at the University of Chicago, he designs and optimizes HPC workflows and CI/CD pipelines for data science and deep learning, cutting deployment times by 60% and enabling reproducible research across clusters. He built production health analytics processing 8M+ records to power real-time cancer risk modeling for NIH-funded studies and established a Secure Data Enclave for sensitive multi-institutional datasets. Trained in geospatial information sciences and city planning, he combines domain expertise with practical systems engineering and teaches others code parallelization and containerization. Notably, he blends academic rigor from MS/PhD work with hands-on productionization, making complex spatial analyses reliably scalable.
9 years of coding experience
MS/PhD, Geospatial Information Sciences - Spatial Statistics, MS/PhD, Geospatial Information Sciences - Spatial Statistics at The University of Texas at DallasMCRP, City & Regional Planning, MCRP, City & Regional Planning at The University of Texas at ArlingtonIndian Institute of Technology Roorkee
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (24)
h34
gis3
geotiff3
wps3
scatter-plot3
abstraction3
geopandas3
partition3
wcs2
geospatial2
gdal2
slurm2
visualization2
data-abstraction2
shapefile2
Programming languages (5)
Github contributions (5)
rcc-uchicago/GIS
Nov 2019 - Dec 2024
Contributions:8 pushes, 2 branches in 5 years 2 months
rcc-uchicago/Satelite_image_intro
Oct 2019 - Aug 2021
Contributions:6 commits, 5 pushes in 1 year 10 months
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