Davide Risso is a Professor of Statistics with 14 years of experience developing computationally intensive methods for high-throughput biomedical data, specializing in single-cell and spatial transcriptomics. He has progressed through academic ranks at Università degli Studi di Padova after postdoctoral work and teaching at UC Berkeley and Weill Cornell, bringing a strong blend of methodological innovation and applied genomics. His PhD work on simultaneous inference for RNA-Seq underpins a career focused on rigorous statistical modeling for sequencing technologies. Known for translating complex statistical theory into practical software and analysis pipelines, he operates at the intersection of statistics, biology, and scalable computation. Based between New York and Italy, he combines international research collaborations with a track record of mentoring and course instruction in computational statistics.
14 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at Università degli Studi di Padova
BSC, Statistics Mathematics and Data Management, BSC, Statistics Mathematics and Data Management at Università degli Studi di Genova
Contributions:2 releases, 160 commits, 1 PR in 1 year 11 months
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Davide Risso - Professor at Università degli Studi di Padova