← Back home

	AlphaFold2 Deep Dive Part 4: The Evoformer 2026-03-21 The workhorse of AF2, which refines the pairwise and MSA representations.
	Protein Structure Prediction Using Large Language Models 2026-03-07 A quick hitter post on ESMFold, an LLM trained on tens of millions of protein sequences.
	Deducing Protein Sequence from Structure using a Graph Neural Network 2026-02-28 A quick dive into the inverse protein folding model, ProteinMPNN.
	RFDiffusion: A Diffusion Model for Generating Protein Structures from Scratch 2026-02-21 A breakdown of the how and why of RFDiffusion.
	AlphaFold2 Deep Dive Part 3: Embedding the Input Data 2026-01-24 Featurizing and embedding our input data into learnable representations!
	AlphaFold2 Deep Dive Part 2: The Input Data 2026-01-17 All about the three main inputs to AlphaFold2: the query sequence, the MSA, and templates.
	AlphaFold2 Deep Dive Part 1: Protein Folding 2026-01-17 What is protein folding, why is it significant, and why is solving it important?
	Training MoEs at Scale with PyTorch and Databricks 2024-07-01 A walkthrough of training Mixture-of-Experts models at scale on Databricks, covering MegaBlocks, PyTorch DTensor/FSDP/HSDP, and elastic checkpointing.