09/2025: I gave a talk titled “Orthogonality in neural network” for Scaleout Edges. [slides, notes]

09/2025: I gave a talk about flow matching and diffusion models at our group seminar. [notes, code]

06/2025: I gave my half-time seminar titled “Learning from distributed and heterogeneous data” for Department of Uppsala University. [slides]

06/2025: I gave a talk about distributed and federated learning for master course Distributed and Parallel Computing as a guest lecture. [slides]

10/2024: I gave a talk about Bayesian neural network for our group seminar. [notes]

10/2024: I gave a poster presentation titled “Is logit adjustment a free lunch for heterogeneous federated learning?” at eSSENCE 2024. [poster]

05/2024: I gave a talk titled “Federated learning for predicting compound mechanism of action based on image-data from cell painting” for AI4Research Uppsala. [slide]

04/2024: I gave a talk introducing denoising diffusion probabilistic model (DDPM) for PhD course Bayesian Inference. [slide, cheat-sheet for Bayesian Inference]

12/2023: I gave a talk introducing federated learning from the perspective of optimization for Centre for Interdisciplinary Mathematics, Uppsala. [slide]