Arno Solin
Arno Solin is a machine-learning researcher whose group develops probabilistic and data-efficient methods for AI. Growing up in Turku, he built robots, earned engineering degrees at Aalto, and joined its faculty in 2018 after work in industry and postdoctoral research. His research includes reduced-rank Gaussian processes, Bayes–Newton inference, and DeSplat, which separates distractors from static scenes. ELLIS appointed him a Scholar in 2021, and AI Finland named him AI Researcher of the Year in 2024. Since June 2026, he serves as Vice Head of Research at Aalto and cohosts a podcast about AI with Eric Malmi.
- Now at
- Aalto University and ELLIS Institute Finland
Timeline
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2011–2016
Turku robots and Aalto degrees
Growing up in Turku, he becomes interested in technology, physics, and mathematics and builds robots. He earns bachelor's and master's degrees in engineering and technology at Aalto in 2011 and 2012, then a doctorate there in 2016. His research focuses on uncertainty quantification, robustness, and scalable inference.
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2014
Reduced-rank Gaussian processes
In 2014, he and Simo Särkkä propose reduced-rank Gaussian-process regression using eigenfunctions of the Laplace operator. This approximation makes inference scale more efficiently with growing data.
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2018
Joining Aalto faculty
In 2018, he joins Aalto as an Assistant Professor. Before the appointment, he works in industry and holds an Academy of Finland postdoctoral fellowship.
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2021
An ELLIS Scholar
In 2021, ELLIS appoints him a Scholar in Theory, Algorithms and Computations of Modern Learning Systems.
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2023
Bayes–Newton inference
In 2023, he coauthors a JMLR paper with William Wilkinson and Simo Särkkä that casts approximate Bayesian inference methods as Newton-style optimization. Its algorithms guarantee positive-semidefinite covariance matrices.
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2024
AI Researcher of the Year
AI Finland names him AI Researcher of the Year in 2024.
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2025
DeSplat at CVPR
In 2025, he coauthors DeSplat, a CVPR paper on 3D Gaussian splatting. The method separates distractors from static scene elements using volume rendering of Gaussian primitives.
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Since June 2026
Vice Head of Research
Since June 2026, he serves as Vice Head of Aalto's Department of Computer Science, with responsibility for research. He is a tenured Associate Professor of Machine Learning and Principal Investigator at ELLIS Institute Finland, where he leads a group working on data-efficient and probabilistic machine learning for AI. In August 2026, he and Eric Malmi begin hosting Aalto's Ja ihminen loi älyn podcast, interviewing AI researchers and entrepreneurs about the field.
Career
- Since 2018Aalto UniversityAssistant Professor, Vice Head of Research
- NowELLIS Institute FinlandPrincipal Investigator
Education
- 2016Aalto UniversityDoctorate
- 2012Aalto UniversityMaster's degree
- 2011Aalto UniversityBachelor's degree
Sources and credits
Photo: We have no published photo of Arno Solin yet. Send us a free-licensed photo.
- Machine learning excited me before I knew it was a thing | Aalto University
- Arno Solin - Aalto University's research portal
- Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
- Arno Solin
- Bayes–Newton Methods for Approximate Bayesian Inference with PSD Guarantees
- DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
- Uusi podcast valottaa tekoälyn syviä suomalaisia juuria | Aalto-yliopisto
