Corrado Lanera
Assistant Professor at Università degli Studi di Padova
Veneto, Italy
Summary
👤
Senior🎓
Top SchoolCorrado Lanera is an assistant professor and R‑centric data scientist with 12 years of experience applying machine, deep and federated learning to clinical problems, especially free‑text and other unstructured health data. He leads the Laboratory of Artificial Intelligence for Medical Sciences at the University of Padova, supervises PhD students, and manages core analytics infrastructure including Posit Workbench, Shiny Open and REDCap. His research blends phenomapping, information extraction from EHRs and literature, and analysis of wearable signals to support clinical classification, systematic reviews and patient monitoring. A long‑time Tidyverse advocate and Posit (RStudio) Certified Trainer, he champions reproducible, human‑readable R code and practical AI literacy. Less obvious: he also contributes to university HPC governance and helped secure a DGX‑H100 node for research, reflecting both hands‑on engineering and strategic resource leadership.
12 years of coding experience
5 years of employment as a software developer
Corso di Master Universitario di 2° livello-ME2242 in Biostatistics, Advanced Biostatistics for Clinical Research, Buono, Corso di Master Universitario di 2° livello-ME2242 in Biostatistics, Advanced Biostatistics for Clinical Research, Buono at Università degli Studi di PadovaLaurea magistrale, Matematica, Laurea magistrale, Matematica at Università degli Studi di Udine
English
Github Skills (142)
anova10
tableone10
shiny-apps10
r10
gt10
r-package10
package10
development-environment10
unit-testing10
ide10
data-visualisation10
rstudio10
grammar10
shiny9
googleauthr9
Programming languages (12)
Github contributions (5)
UBESP-DCTV/covid19ita
Mar 2020 - Jan 2023
Covid-19 - Italy
Contributions:8 reviews, 1406 commits, 55 PRs in 2 years 11 months
reactjsreactnextjs
CorradoLanera/CrossClustering
Dec 2017 - Aug 2018
CrossClustering: a partial clustering algorithm with automatic estimation of the number of clusters and identification of outliers.
Contributions:127 commits, 12 PRs, 68 pushes in 7 months
number-of-clusterspartialclustersclusteringestimation
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