Tommi Vatanen is an associate professor and data scientist in Helsinki with 13 years’ experience applying statistical and machine learning methods to infant gut microbiome research. He combines academic leadership roles at HiLIFE and the University of Helsinki with hands-on postdoctoral and research positions at the Broad Institute and Liggins Institute, translating complex biological data into actionable insights. Proficient in Python, R, Matlab and Java, he specializes in Bayesian modeling and advanced data analysis for NGS and systems biology. Beyond research, he has a track record in project management and science communication, and a lesser-known background in music and cultural studies that informs his interdisciplinary approach to problem solving.
13 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Biology, Master of Science, Bioinformation technology, Distinction, Master, Music Supplement Studies, Bachelor, Cultural Studies, Doctor of Philosophy (PhD), Computational Biology, Master of Science, Bioinformation technology, Distinction, Master, Music Supplement Studies, Bachelor, Cultural Studies at Aalto University
Aalto University (formerly Helsinki University of Technology)
Lahti Polytechnic, Faculty of Music
Contributions:17 commits, 7 PRs, 8 pushes in 5 years 6 months
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