Biography

Short (~50 words)

Dr. Arno Solin is an Assistant Professor (tenure-track) in Machine Learning at the Department of Computer Science at Aalto University, Finland. He also holds an Adjunct Professorship (Title of Docent) at Tampere University and is the coordinating professor of the ‘Next-generation Data-efficient Deep Learning’ program of the Finnish Center of Artificial Intelligence (FCAI). His research interests are in data-efficient machine learning, with special interest in probabilistic methods for real-time inference and sensor fusion.

Long (~250 words)

Dr. Arno Solin is an Assistant Professor (tenure-track) in Machine Learning at the Department of Computer Science at Aalto University, Finland. He also holds an Adjunct Professorship (Title of Docent) at Tampere University and is the coordinating professor of the ‘Next-generation Data-efficient Deep Learning’ program of the Finnish Center of Artificial Intelligence (FCAI). His research interests are in data-efficient machine learning, with a special interest in probabilistic methods for real-time inference and sensor fusion.

At Aalto, Arno leads a research group in machine learning. He gave a tutorial on Machine Learning with Signal Processing at ICML 2020 and was one of the organisers of MLSP 2020. He has acted as a program committee member/reviewer for, e.g., NeurIPS, ICML, AISTATS, and AAAI. He is an Editorial Board Reviewer for JMLR and an Area Chair for NeurIPS 2021. He is a winner of the ISIF 2018 Jean-Pierre Le Cadre Best Paper Award, and he won the MLSP 2014 Schizophrenia Classification Challenge on Kaggle.

Previously Arno worked as a team-lead in industry (2015–2017) and held an Academy of Finland post-doctoral fellowship (2017–2020). He has also held visiting researcher positions in Prof. Neil Lawrence’s group at the University of Sheffield (2013), the Computational and Biological Learning Lab (CBL) at the University of Cambridge (2017–2018), and Prof. Thomas Schön’s group at Uppsala University (2019). He is a co-author of the book Applied Stochastic Differential Equations, published by Cambridge University Press.

Suomeksi

Tekniikan tohtori Arno Solin toimii koneoppimisen apulaisprofessorina Aalto-yliopiston tietotekniikan laitoksella. Hän on myös Tampereen yliopiston dosentti ja koordinoi Suomen tekoälykeskuksen (Finnish Center for Artificial Intelligence, FCAI) syväoppimiseen liittyvää tutkimusohjelmaa. Hänen keskittyy tutkimuksessaan kehittämään tehokkaampia koneoppimismenetelmiä ja erityisesti todennäköisyyspohjaisiin reaaliaikaisiin menetelmiin ja sensorifuusioon.

På svenska

Doktor Arno Solin är biträdande professor (assistant professor) i maskininlärning vid Aalto-universitetets institution för datateknik. Han är också docent vid Tampereen yliopisto och samordnar forskningsprogrammet för djupinlärning vid Centret för artificiell intelligens (FCAI). Hans forskning fokuserar på att utveckla effektivare maskininlärningsmetoder, och i synnerhet sannolikhetsbaserade realtidsmetoder för sensorfusion.

Photos

You can enjoy a couple of high-resolution photographs of Arno below. Where indicated, these have been provided by external people, who have kindly allowed me to share them online. Please acknowledge the photographer if you use these photos.

Arno Solin
Photo: Matti Ahlgren / Aalto University
Arno Solin
Photo: Matti Ahlgren / Aalto University
Arno Solin
Photo: Arno Solin