Giulia Guidi
Assistant Professor at Cornell University
City of Ithaca, New York, United States
Summary
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Senior🎓
Top SchoolGiulia Guidi is an Assistant Professor of Computer Science at Cornell with nine years of research and teaching experience at the intersection of high-performance computing and data-driven science. She earned a PhD in CS from UC Berkeley after engineering degrees in biomedical fields from Politecnico di Milano, bringing a multidisciplinary perspective to systems and scientific computing. Prior roles at Berkeley Lab as a project scientist and graduate researcher reflect deep expertise in scientific computing, parallel applications, and scalable data analytics. She has taught CS267 (Applications of Parallel Computers) at Berkeley, signaling strong mentorship and hands-on experience with GPU/parallel programming education. Based in Ithaca, she blends academic leadership with practical lab-based problem solving, often translating computational methods into applied scientific workflows. An uncommon strength is her combined background in biomedical engineering and HPC, enabling cross-domain innovation that bridges algorithmic research and real-world scientific needs.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at UC Berkeley Electrical Engineering & Computer Sciences (EECS)Bachelor's degree, Bioingegneria e ingegneria biomedica, Bachelor's degree, Bioingegneria e ingegneria biomedica at Politecnico di MilanoLiceo Scientifico Belfiore
English, Italian
Github Skills (68)
genome-assembly10
hpc-applications10
reduction10
genome10
overlapping10
github-pages10
assembly10
responsive10
jekyll10
jekyll-theme10
ranking10
bioinformatics10
science9
parallel9
computer-science9
Programming languages (6)
Github contributions (5)
giuliaguidi/giuliaguidi.github.io
Mar 2021 - Dec 2022
A beautiful, simple, clean, and responsive Jekyll theme for academics.
Contributions:1 review, 310 commits, 8 PRs in 1 year 9 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
kodingkoning/bella
Mar 2019 - Jun 2019
BELLA: a computationally-efficient and highly-accurate long-read to long-read aligner and overlapper.
Contributions:44 commits, 7 pushes in 3 months
accuratealignerbellalong
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