Marco Russo
Data Mining Associate Professor
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolMarco Russo is a Data Mining Associate Professor and machine learning engineer who blends nearly a decade of industry-grade AI, MLOps and cloud engineering with deep bioinformatics expertise to tackle genomic and healthcare challenges. He has built production ML systems and scalable data pipelines for finance and retail before pivoting to NGS, single-cell RNA-seq and proteomics analyses, published research on cardiovascular and neuromuscular disease prediction, and now teaches applied data science at the university level. Comfortable across Python/R/Scala, Spark, Docker/Kubernetes and major clouds, he bridges reproducible research and enterprise deployment—moving models from notebooks into CI/CD-monitored production. As an educator and course lead he mentors students and builds curricula that connect core statistics with practical biotech workflows, accelerating industry–academia collaboration. Currently pursuing advanced degrees in Health Data Science and Bioinformatics, he uniquely pairs hands-on engineering with formal training in computational biology. Outside work he balances technical curiosity with creative outlets like cooking and electric guitar, reflecting a pragmatic but multidisciplinary approach to problem solving.
8 years of coding experience
18 years of employment as a software developer
Associate of Science - AS, Data Processing and Data Processing Technology/Technician, Associate of Science - AS, Data Processing and Data Processing Technology/Technician at edXInter-universitary Master's degree Health Data Science (MHEDAS), Biomedical/Medical Engineering, Inter-universitary Master's degree Health Data Science (MHEDAS), Biomedical/Medical Engineering at Universitat Rovira i VirgiliMaster's degree, Cloud Computing, Master's degree, Cloud Computing at CICE Escuela Profesional de Nuevas TecnologíasEconomia, mercados bursatiles y finanza, Economia, mercados bursatiles y finanza at Seconda Università degli Studi di NapoliUOC (Universitat Oberta de Catalunya)Dirección marketing y ventas, Universidad Rey Juan Carlos, Dirección marketing y ventas, Universidad Rey Juan Carlos at Universidad Rey Juan CarlosData Analytics and Data Science advanced program, Computer/Information Technology Administration and Management, Data Analytics and Data Science advanced program, Computer/Information Technology Administration and Management at MITx CoursesMaster's degree, Inter-university Biomathematics, Bioinformatics, and Computational Biology, Master's degree, Inter-university Biomathematics, Bioinformatics, and Computational Biology at Universitat de BarcelonaData Science specialization, Information Technology, Data Science specialization, Information Technology at Columbia University | CourseraUBC/DAA Award of Achievement in Digital Analytics, UBC/DAA Award of Achievement in Digital Analytics at The University of British ColumbiaBootcamp Data Science - MLOps - Data Engineering, Mathematical Statistics and Probability, Bootcamp Data Science - MLOps - Data Engineering, Mathematical Statistics and Probability at The Bridge | Digital Talent AcceleratorData Science & Data Analytics, Data Science & Data Analytics at NEOLAND
Italian, Spanish, Portuguese, French, English, Catalan
Stackoverflow
68reputation
21kreached
5answers
6questions
Github Skills (79)
cms10
hugo-theme10
hugo10
academia10
forestry10
r10
sum10
open-science10
jupyter10
netlify10
data-science10
blog-engine10
github-pages10
rmarkdown10
obsidian10
Programming languages (7)
Github contributions (5)
marcusRB/marcusrb.github.io
Sep 2020 - Sep 2021
public blog
Contributions:1 release, 1 review, 59 commits in 1 year
marcusRB/TheBridge_DataScience_PT_ALUMNI_sep22
Sep 2022 - Dec 2022
Contributions:34 commits, 18 PRs, 38 pushes in 3 months
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