I am a final-year PhD student co-supervised by Samuel Kaski (Aalto University) and Luigi Acerbi (University of Helsinki), affiliated with the Probabilistic Machine Learning group at Aalto University, the Machine and Human Intelligence group at the University of Helsinki, and ELLIS Institute Finland. I am fully funded by the Finnish Center for Artificial Intelligence (FCAI). I received my master’s degree at Aalto University, with a major in machine learning, data science and artificial intelligence (Macadamia).
My research combines Bayesian modeling, amortized inference, and in-context learning to make scientific inference, experimentation, and decision-making more data- and compute-efficient.
Outside research, I produce electronic music as RGB and enjoy photography.
I will be on the job market in spring/summer 2027, seeking Machine Learning Research Scientist positions. Please contact me if you know of any opportunities!
Research interests
- Sequential Decision-Making & Optimization
- Bayesian experimental design, active learning, and Bayesian optimization.
- Probabilistic Modeling & Inference
- Amortized inference and meta-learning, simulation-based inference.
- Foundation Models for Scientific Discovery
- Tabular foundation models (PFNs), time-series foundation models, neural processes.