Hello there! I’m Jiajun He (何佳峻)! I am a first-year PhD in the Machine Learning Group at the University of Cambridge under the supervision of Prof. José Miguel Hernández-Lobato. My research interests focus on probabilistic methods. Specifically, I am interested in applying probabilistic inference in generative models, designing neural samplers for sampling from unnormalized densities, and developing accelerated probabilistic algorithms for compression.
Previously, I completed my MPhil in Machine Learning and Machine Intelligence from University of Cambridge, where I graduated with distinction as the first of the cohort. For my MPhil dissertation, I worked with Prof. José Miguel Hernández-Lobato and Gergely Flamich on data compression with Implicit Neural Representations. Prior to that, I obained an MSc in Bioinformatics at University of Copenhagen in Denmark, where I had the privilege of working with Prof. Thomas Wim Hamelryck, and a BSc in Biological Science at Tsinghua University in China, where I was fortunate to be supervised by Prof. Xuerui Yang.
I am an landscape photographer in my spare time. Please explore my works on Instagram. I will do my best to keep it updated!