01
Protein AI Active exploration
ProtDiffusion
A PyTorch implementation exploring diffusion-based protein structure prediction.
Independent research · ML systems
Machine
learning for
science.
Scientific ML · Protein AI · Generative models
I build and study machine learning systems to understand what they can reveal about biology and the natural world—and where their limits still lie.
01 / Ongoing research & selected work
Research meets implementation.
Scientific ML remains a central part of my work: understanding model behavior deeply enough to build, adapt, and evaluate it with intent.
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02
Scientific ML Open source
AlphaFold2-mini
An implementation of the AlphaFold2 architecture from first principles: Evoformer, MSA row/column attention, outer product mean, triangle attention and multiplication, Invariant Point Attention, structure module.
03
Biological foundation models Open source
scGPT-mini
An implementation study of scGPT for single-cell transcriptomics.
04
Agentic AI Open source
BioAgent
A biology-focused tool-calling agent fine-tuned with SFT/LoRA on open-source language models.
05
AI Engineering Ongoing technical work
ML systems & inference
Implementation-led study of the systems choices behind useful, reliable LLM applications.
02 / Technical writing
Notes from the work.
Geometry, models, systems, and the decisions hidden inside an implementation.
Oct 2026
The Triangle Inequality in the Evoformer is a Misnomer
A breakdown of the triangle inequality and why it's a misnomer
Oct 2026
My Top Algorithms Across Transformer Architectures
A personal look at the Transformer algorithms and mechanisms I find the most elegant, interesting, and satisfying.
Sep 2026
A working intuition for diffusion on SO(3)
Why rotations make a useful case study for respecting geometry in generative models.
03 / Approach
Rigor in the model. Clarity in the system.
I care about understanding how a system works well enough to make deliberate trade-offs, explain them clearly, and leave the people using it in control.
More about my approach04 / Conversation
Good questions travel.
If something here connects with your own research or ideas, I’d be glad to hear from you.
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