About me

I am a research fellow at the University of Helsinki. I work with the Multi-source Probabilistic Inference group (led by Prof. Arto Klami) and the Senses and Food group (led by Prof. Mari Sandell). For the first half of 2026, I was a visiting postdoctoral researcher at the INDY lab at EPFL, working with Professors Matthias Grossglauser and Patrick Thiran.

Previously, I was a postdoctoral researcher at the University of Helsinki, working within the research groups of Prof. Arto Klami and Prof. Luigi Acerbi. I completed my PhD at Aalto University under the supervision of Prof. Samuel Kaski. I also hold two Master’s degrees, one in Mathematics and one in Economics, from the University of Helsinki.

Research

My current research focus is on preference learning, with main applications in alignment/RLHF and food science.

In general, my research revolves around probabilistic machine learning, specifically learning from choice and preference data, with primary applications in LLM elicitation and principled preference alignment. At its core, my work combines random utility theory with modern probabilistic models—such as flows, diffusion models, and autoregressive transformers—to create accurate representations of the utilities and beliefs held by various oracles, including humans and LLMs. As an example, see work on normalizing flows and diffusion models.

Key areas of interest include probabilistic deep learning, choice modeling, reward modeling, preference alignment, elicitation (knowledge/prior elicitation, preference learning), and Bayesian optimization.