Severi Rissanen
Doctoral Student at Aalto University
Espoo, Finland
Summary
👤
Senior🎓
Top SchoolSeveri Rissanen is an ML research engineer and doctoral student based in Espoo, Finland with eight years of experience applying machine learning to scientific problems, from causal inference to generative modelling. Currently interning at Verda and pursuing a PhD at Aalto University, he focuses on generative models and has collaborated with groups at Cambridge and Microsoft on diffusion models and chemistry-focused ML. His research has produced a NeurIPS 2021 paper and an award-winning master’s thesis on identifiability in deep latent variable models, demonstrating a strong blend of theoretical rigor and applied experimentation. Past industry work includes anomaly detection at Nokia and visualization tooling integrated into CI pipelines, showing he’s comfortable shipping practical systems as well as novel algorithms. He notably combines physics and computation roots—engineering physics and quantum simulations—to approach ML problems with a quantitative, simulation-informed perspective.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Data Science, Machine Learning and Artificial Intelligence, Master's degree, Data Science, Machine Learning and Artificial Intelligence at Aalto UniversityExchange studies, Exchange studies at EPFLKajaani High School
Github Skills (3)
interaction4
python3
user-interaction2
Programming languages (1)
Github contributions (5)
AaltoML/generative-inverse-heat-dissipation
Jun 2022 - Nov 2022
Contributions:52 commits, 63 pushes, 1 branch in 5 months
severi-rissanen/critical_look_causal_dlvms
Feb 2021 - Oct 2021
Contributions:8 commits, 5 pushes, 1 branch in 8 months
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