Valentina Sora
Postdoctoral Researcher at Københavns Universitet - University of Copenhagen
Denmark
Summary
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Top SchoolValentina Sora is a postdoctoral researcher in machine learning at the University of Copenhagen, specializing in generative models applied to biological data with eight years of experience bridging computational biology and software development. Her PhD work produced multiple open-source Python packages and novel graph-theoretical tools for analyzing protein motifs and dynamics, and she has hands-on expertise with molecular dynamics, structural databases, and heterogeneous data integration. Valentina combines rigorous academic training—summa cum laude degrees and a PhD—with practical HPC and pipeline engineering from international collaborations and visiting research stints. Beyond the lab she cultivates leadership and team dynamics through coaching volleyball and organizing PhD events, and she reads deeply on complex systems, behavioral economics, and computational linguistics—often pursuing creative “side quests” alongside her main research.
7 years of coding experience
University of BolognaBachelor's degree, Biology, 110/110 summa cum laude (ECTS grade scale: A), Bachelor's degree, Biology, 110/110 summa cum laude (ECTS grade scale: A) at Università degli Studi di Milano-BicoccaTechnical University of Denmark
Italian, English, French, danese
Github Skills (3)
rna-seq9
python7
neural-network4
Programming languages (2)
Github contributions (5)
ELELAB/RosettaDDGPrediction
Jun 2020 - Nov 2022
Contributions:76 commits, 5 PRs, 4 pushes in 2 years 6 months
ELELAB/psntools
Mar 2021 - Feb 2022
Contributions:35 commits, 6 PRs, 21 pushes in 10 months
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