Simo SärkkäArno Solin
Arno Solin
Associate Professor in Machine Learning
Academy of Finland Research Fellow
ELLIS Scholar
Aalto University
ELLIS Institute Finland
Biography
Dr. Arno Solin is a tenured Associate Professor of Machine Learning and Principal Investigator at ELLIS Institute Finland and Aalto University, where he leads a research group working on data-efficient and probabilistic machine learning for artificial intelligence. His research focuses especially on methods for efficient inference and learning, dynamical systems, and sensor fusion.
Arno is an ELLIS Scholar, an Adjunct Professor (Docent) at Tampere University, and coordinates the Next-generation Data-efficient Deep Learning program of the Finnish Center for Artificial Intelligence (FCAI). He has served in senior organizing and reviewing roles at major machine learning conferences, including as Program Chair and General Chair of AISTATS and Senior Area Chair for NeurIPS and ICML. His research has led to both academic and real-world impact. He takes an active role in industry mentorship and consulting, and he is also a co-author of the Cambridge University Press book Applied Stochastic Differential Equations.
Before joining the Aalto faculty in 2018, Arno worked in industry and held an Academy of Finland postdoctoral fellowship. He has been a visiting researcher at the University of Sheffield, the University of Cambridge, and Uppsala University.
Research Interests
Machine Learning: Probabilistic methods, generative modelling, data-efficient machine learning, Gaussian processes, diffusion models, approximate inference, 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.
