Blogs
Here I share posts about topics that interest me and I am trying to learn, ranging from statistics and machine learning/AI to the drug discovery process. Click “Read more” to explore each post in detail.
Mathematical Derivation of VAE
Published on: Jan 2026
A concise walkthrough of the mathematical foundations behind Variational Autoencoders (VAE) highlighting key derivations and concepts for understanding how they work.
Modelling DNA-Encoded Libraries (DELs) - Part 1
Published on: April 2026
A three-part series developing a probabilistic framework for DNA-encoded library (DEL) data. The goal is to explain noisy sequencing counts in terms of latent compound-level and synthon-level effects so that true enrichment can be separated from technical and compositional artefacts. Part 1 focuses on likelihood choice, data-generation assumptions, and the modelling implications of background effects, library composition, and replicate variation.