Simo SärkkäArno Solin
Dr. Arno Solin is an Assistant Professor (tenure-track) in Machine Learning and Academy of Finland Research Fellow at the Department of Computer Science at Aalto University, Finland. He is also an ELLIS Scholar and holds an Adjunct Professorship (Title of Docent) at Tampere University, serves as a member of the Young Academy Finland, 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. 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. He is also a co-founder of Spectacular AI, a sensor fusion and spatial AI start-up.
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.
Machine Learning: Probabilistic methods, data-efficient machine learning, Gaussian processes, approximate inference, deep probabilistic models, real-time inference, reinforcement learning.
Signal Processing: Sequential methods, nonlinear state estimation, Kalman filtering, time-series modelling, dynamical systems, system identification.
Sensor Fusion: Real-time inference, computer vision, inter-frame reasoning, perception, odometry, tracking.
My group is presenting five papers at the main conference and one workshop paper at NeurIPS this year.
After a two-year break in travelling (since NeurIPS 2019), I’m giving a live keynote at the official NeurIPS satellite event in Copenhagen.
I have been appointed as an ELLIS Scholar in Theory, Algorithms and Computations of Modern Learning Systems under European Laboratory for Learning and Intelligent Systems (ELLIS).
I have received five-year personal funding from the Academy of Finland to support my research.
I have been appointed as member of the Young Academy Finland for the term 2021–2025.
Simo SärkkäArno Solin
Arno SolinSimo Särkkä
Lassi MeronenChristabella IrwantoArno Solin
Arno SolinManon Kok
Arno SolinJames HensmanRichard E. Turner