About

I am a postdoctoral researcher working with Prof. Samuel Kaski at the Department of Computer Science, Aalto University, Finland. I am affiliated with the Probabilistic Machine Learning research group and the Finnish Centre for Artificial Intelligence. My primary research area is simulation-based inference (or likelihood-free inference) methods, such as approximate Bayesian computation. I am interested in developing inference methods that are:

• robust to model misspecification
• sample efficient

Previously, I was employed as a PhD fellow at the Department of Electronic Systems, Aalborg University, Denmark, from Nov 2017 to March 2021. My PhD topic was on making approximate Bayesian computation methods for estimating parameters of stochastic models in the field of radio propagation. I obtained the M.Sc. degree in Signal Processing and Computing from Aalborg University in 2017, and the B.E. degree in Electrical and Electronics Engineering from Birla Institute of Technology and Sciences, Pilani in 2015. Click here to see my CV.

News

• Sep 2023: Our paper on Learning Robust Statistics for Simulation-based Inference under Model Misspecification was accepted at NeurIPS 2023.
• April 2023: Our paper on Optimally-weighted Estimators of the MMD for Likelihood-free Inference was accepted at ICML 2023.
• March 2023: Gave a talk at BayesComp 2023 conference on our paper Optimally-weighted Estimators of the MMD for Likelihood-free Inference.
• Nov 2022: Talk at the Department of Statistical Science, UCL.
• Oct 2022: Talk at the AI Centre, UCL. Video
• Oct-Nov 2022: Visiting Dr. F-X Briol at the Dept. of Statistical Science, UCL.
• May 2022: Our paper on Approximate Bayesian Computation with Domain Expert in the Loop was accepted for a short presentation at ICML 2022.
• April 2022: I was featured in the Everyday choices column of the Aalto University Magazine (Spring 2022 edition).
• February 2022: Co-organised the FCAI-Turing Meetup with Dr. F.-X. Briol. The event aimed at bringing together researchers from the Turing and FCAI to foster collaboration and create connections.
• September 2021: Our blog post (co-written by Dr. F.-X. Briol) on Using machine learning to improve the reliability of wireless communication systems is published on the Alan Turing Insitute’s website. The blog is based on our paper in the Transactions on Antennas and Propagation journal, and is joint work with Assoc. Prof. Troels Pedersen.