Davide Albanese
Software Engineer at R4P
Caldonazzo, Trentino – Alto Adige/Südtirol, Italy
Summary
👤
Senior🎓
Top SchoolDavide Albanese is a software engineer and machine learning specialist with 13 years of experience building statistical and AI models for complex scientific and industrial data, now focused on anomaly detection, predictive maintenance and time-series analysis. He has a strong background in high-performance computing and cross-disciplinary R&D from long tenures at Fondazione Edmund Mach and FBK, contributing to dozens of peer-reviewed studies (H-index 30). Davide blends bioinformatics expertise—evident in his contributions to the open-source vsearch tool, including implementing UNOISE and chimera detection commands—with production-focused ML for industrial systems. Based in Trentino, he leverages data as a strategic lever to improve processes and deliver measurable outcomes, while enjoying work at the intersection of research and applied engineering.
13 years of coding experience
18 years of employment as a software developer
Laurea Specialistica, Ingegneria delle telecomunicazioni, Laurea Specialistica, Ingegneria delle telecomunicazioni at Università di TrentoPerito Industriale Capotecnico, Specializzazione Elettronica e Automazione, Perito Industriale Capotecnico, Specializzazione Elettronica e Automazione at Istituto Tecnico Industriale Michelangelo Buonarroti
Italian, English
Stackoverflow
572reputation
25kreached
8answers
0questions
Github Skills (15)
bioinformatics10
c-language10
cprogramming-language10
sequence-alignment10
metagenomics9
clustering9
command-line-interface9
pandas6
compiler-optimization6
distutils6
machine-learning6
python6
numpy6
cython6
gcc6
Programming languages (10)
Github contributions (5)
torognes/vsearch
Dec 2017 - Feb 2019
Versatile open-source tool for microbiome analysis
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 4 PRs, 18 comments in 1 year 2 months
Contributions summary:Davide primarily focused on enhancing the `vsearch` tool, a microbiome analysis tool. Their contributions involved implementing and finalizing the UNOISE algorithm, along with adding associated command-line options and functionalities, and refactoring existing code. They also added new commands, such as UCHIME2 and UCHIME3 de novo for chimera detection. These changes indicate a focus on expanding the tool's capabilities and improving its usability within the bioinformatics domain.
chimerametabarcodingmetagenomicsmicrobiome-analysisamplicon
metashot/prok-annotate
Nov 2020 - Mar 2023
Annotation pipeline for prokaryotic genomes
Contributions:9 releases, 61 pushes, 2 branches in 2 years 4 months
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