I am a doctoral researcher in the Probabilistic Machine Learning group at Aalto University, working on compute-efficient and robust simulation-based inference, advised by Ayush Bharti (Aalto) and François-Xavier Briol (UCL).
Prior to that, I was a master student in Econometrics at Department of Statistics, TU Dortmund University, where I worked as a research assistant on the development of R packages for Bayesian model comparison (with Marvin Schmitt) and Bayesian vector autoregression (with Jan Prüser). For my master’s thesis, I worked on amortized Bayesian experimental design for multiple candidate models under the supervision of Marvin Schmitt, Desi Ivanova, and Paul Bürkner.
Click here to see my CV.
Interests
Bayesian Statistics
Bayesian Experimental Design
Simulation-based Inference
Amortized Inference
Likelihood-free Inference
Education
PhD in Computer Science
Aalto University, Finland, 2025-2028
MSc in Econometrics
TU Dortmund, Germany, 2022-2024
BSc in Economics
University of Sussex, UK, 2018-2022