I am a PhD student at the Division of Statistics and Machine Learning (STIMA), Linköping University, working at the intersection of generative modelling and computational statistics. I am supervised by Senior Assoc. Prof. Fredrik Lindsten and co-supervised by Asst. Prof. Jens Sjölund and Asst. Prof. Zheng Zhao. I am an academic PhD-student within the WASP program.

My current research focuses on leveraging diffusion and flow based models to solve statistical problems like sampling and Bayesian posterior inference. And inversely, I am also interested in using inference methods to improve generative models. As application areas, I am particularly excited about materials discovery, molecular design, and protein generation.

I completed my Masters degree in Machine Learning from KTH Royal Institute of Technology. My master thesis on the linear mode connectivity in neural networks can be found here

Teaching

Teaching Assistant for the following courses at Linköping University

• TDDE69 Machine Learning, Basic Course (Fall 2024)

Teaching Assistant for the following courses at KTH Royal Institute of Technology:

• DD2424 Deep Learning in Data Science (Spring 2022)
• DD2434 Machine Learning, Advanced Course (Autumn 2021)
• DD2380 Artificial Intelligence (Spring 2021, Autumn 2021, Spring 2022)