I am a PhD student in the Department of Computer Science at Aalto University, advised by Arno Solin and Markus Heinonen. My research interests have included diffusion generative models, (physics-inspired) inductive biases in diffusion models, adding inference-time controls to diffusion models and diffusion models applications to scientific problems. Previously, I also worked in the intersection of deep latent variable models and causal inference. During my PhD, I spent time as a visiting student in University of Cambridge in José Miguel Hernández-Lobato’s group and did an internship at Microsoft Research AI4Science in Cambridge. I published 5 first-author/shared-first-author papers in NeurIPS/ICML/ICLR in my Master’s and PhD so far. I was also one of the main organisers of ELLIS Doctoral Symposium 2023!
PhD in Machine Learning, 2021-
Aalto University
MSc in Machine Learning, 2019-2021
Aalto University
BSc in Engineering Physics and Mathematics, 2016-2019
Aalto University