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Frederick "Erick" Matsen

@matsen.bsky.social
658 followers 158 following 53 posts

I ♥ evolution, immunology, math, & computers. Professor at Fred Hutch & Investigator at HHMI. matsen.fredhutch.org

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Reposted by Frederick "Erick" Matsen
Gabriel Victora @victora.bsky.social · 06/06/2026
This was one of the most complex projects I have ever been involved in. Took us the better part of a decade, but I thoroughly enjoyed every minute of it. Especially the intensive and extensive interactions with @wsdewitt.github.io, @matsen.bsky.social, and @tylernstarr.bsky.social
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Frederick "Erick" Matsen @matsen.bsky.social · 24/06/2026
Coding tools are great at producing code. But they don't fit how I do science, where the manuscript is the central artifact. So I built bipartite: manuscript-driven development with a team of agents, directed the way a PI directs a group. matsen.fredhutch.org/general/202...
matsen.fredhutch.org
Bipartite: manuscript-driven development with a team of agents
Bipartite is an agent orchestration system built around a simple idea: the manuscript is the source of truth, so understanding a project should mean reading its paper.
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Frederick "Erick" Matsen @matsen.bsky.social · 20/03/2026
Looking forward to the next AIRR immune repertoire meeting tinyurl.com/airrcmeeting8 . Hope to see you there! (Note there is a hybrid option too.)
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Frederick "Erick" Matsen @matsen.bsky.social · 13/03/2026
Spec-kit points to the future of software development. New post: when I use it, how it's changed my dev flow overall, and a complete walkthrough building a bioinformatics pipeline from scratch. matsen.group/general/202...
matsen.group
Spec-Driven Development with spec-kit
A walkthrough of using GitHub's spec-kit for spec-driven development on a bioinformatics pipeline.
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Frederick "Erick" Matsen @matsen.bsky.social · 11/12/2025
Over the past 5+ years I've had the honor of working with @wsdewitt.github.io @victora.bsky.social and many others on a project to "replay" affinity maturation evolution from a fixed starting point. matsen.group/general/2025...
matsen.group
Replaying evolution to learn about the fitness landscape of affinity maturation
A five year collaboration with the Victora lab is bearing fruit for evolutionary biology.
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Frederick "Erick" Matsen @matsen.bsky.social · 10/12/2025
Thanks to everyone who attended and asked questions in www.youtube.com/watch?v=Rbhs... . I've added it to the blog series description matsen.group/agentic.html I'm going to stop barking about AI for a while now. The next blog post will be about B cells!
youtube.com
Agentic Coding for Scientists (Dec 2025 edition)
YouTube video by Erick Matsen
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Frederick "Erick" Matsen @matsen.bsky.social · 09/12/2025
I'll be livestreaming in 24 hours. Hope to see you there!
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Frederick "Erick" Matsen @matsen.bsky.social · 08/12/2025
Thanks to Dave Rich in our group, our repertoire browser www.olmstedviz.org is now greatly updated. * Data is loaded into your browser client-side: no install * Interactive visualization of trees and amino acid mutations * Tool ingests data in AIRR JSON format We want to help you try it out!
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Frederick "Erick" Matsen @matsen.bsky.social · 02/12/2025
The era of coding agents is here. How do we approach this as scientists? Wednesday Dec 10th at 9am PT I'll livestream an interactive demo of what I have learned (matsen.group/agentic.html) about how to leverage agentic coding to do rigorous science. www.youtube.com/watch?v=Rbhs...
youtube.com
Agentic Coding for Scientists (Dec 2025 edition)
YouTube video by Erick Matsen
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Reposted by Frederick "Erick" Matsen
Joshua Fein @joshuafein.bsky.social · 14/11/2025
Outstanding articles. I’ve only just begun experimenting with Claude and Gemini CLIs and they’re incredibly powerful. This is extremely valuable best practice advice.
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Frederick "Erick" Matsen @matsen.bsky.social · 13/11/2025
The last five months with Claude Code have completely changed how we work. matsen.group/agentic.html details: • How agents work (& why it matters) • Git Flow with agents • Using agents for science • The human-agent interface Questions? What has your experience been?
matsen.group
Agentic Coding For Scientists
A four-part series on using coding agents like Claude Code for scientific programming, covering fundamentals, workflows, best practices, and the human side of AI-assisted development.
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Frederick "Erick" Matsen @matsen.bsky.social · 19/10/2025
The Mahan postdoctoral fellowship offers 21 months of support to develop your own research with Fred Hutch computational biology faculty-- lots of excellent labs to choose from! Apply: apply.interfolio.com/172697 Faculty: www.fredhutch.org/en/research...
fredhutch.org
Herbold Computational Biology Faculty & Labs
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Frederick "Erick" Matsen @matsen.bsky.social · 24/09/2025
The final version of our transformer-based model of natural selection has come out in MBE. I hope some molecular evolution researchers find this interesting & useful as a way to express richer models of natural selection. doi.org/10.1093/mol... (short 🧵)
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Reposted by Frederick "Erick" Matsen
Stephan Saalfeld @herrsaalfeld.bsky.social · 18/09/2025
We are looking for an #AIEngineer to help build protein language models that capture evolutionary constraints with @matsen.bsky.social and @jbloomlab.bsky.social at #AI@HHMI @hhmijanelia.bsky.social hhmi.wd1.myworkdayjobs.com/en-US/Extern...
hhmi.wd1.myworkdayjobs.com
AI Engineer - Evolutionary Protein Language Models
Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. Intro: AI@HHMI: HHMI is investing $500 million over the next 10 years ...
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Frederick "Erick" Matsen @matsen.bsky.social · 18/09/2025
The final version of our "Thrifty" paper is up now: elifesciences.org/articles/10... . We were motivated to fit wide-context mutation models based on previous analyses showing "mesoscale" effects and a position-specific effect. But, how to avoid exploding the number of parameters? 🧵
elifesciences.org
Thrifty wide-context models of B cell receptor somatic hypermutation
Convolutional embedding models efficiently capture wide sequence context in antibody somatic hypermutation, avoiding exponential k-mer parameter scaling and eliminating the need for per-site modeling.
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Frederick "Erick" Matsen @matsen.bsky.social · 16/09/2025
Is an idea likely to advance the field? Our "preflight check" exercise provides a structured approach for thinking through computational biology research projects. github.com/matsengrp/pr... Thanks to @sdwfrost.bsky.social for the core idea!
github.com
GitHub - matsengrp/preflight
Contribute to matsengrp/preflight development by creating an account on GitHub.
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Frederick "Erick" Matsen @matsen.bsky.social · 21/08/2025
Interested in doing a PhD or postdoc in our group? Here is a letter to you: matsen.group/general/202... We are ready to recruit a trainee who can help develop the next generation of our transformer-based models of natural selection. See the "joining" tab of our website for details.
matsen.group
Dear future trainee:
Let's have fun, work hard, and feel lucky that our job is to expand the boundary of knowledge.
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Frederick "Erick" Matsen @matsen.bsky.social · 20/08/2025
Open bioinformatics position on next-generation protein evolution models! Join HHMI's AI initiative at Janelia Farm, Virginia, (an amazing place) and work closely with our team. Help us build the future! 🧬 + 🤖 = ❤️ hhmi.wd1.myworkdayjobs.com/en-US/Exter...
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Frederick "Erick" Matsen @matsen.bsky.social · 19/08/2025
Why does selection feel so weak relative to mutation in affinity maturation? A new blog post giving three perspectives, including our new transformer-based model of natural selection on antibodies: matsen.group/general/202...
matsen.group
The term 'affinity maturation' understates the influence of somatic hypermutation
Three recent papers quantify how nucleotide-level mutation processes drive antibody evolution.
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Reposted by Frederick "Erick" Matsen
psathyrella.bsky.social @psathyrella.bsky.social · 16/08/2025
In a new preprint we use deep learning on lineage trees to infer the functional form of the relationship between affinity and fitness that controls antibody evolution in germinal centers: arxiv.org/abs/2508.09871 🧵
arxiv.org
Inference of germinal center evolutionary dynamics via simulation-based deep learning
B cells and the antibodies they produce are vital to health and survival, motivating research on the details of the mutational and evolutionary processes in the germinal centers (GC) from which mature...
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Frederick "Erick" Matsen @matsen.bsky.social · 14/08/2025
Here are some useful subagents we've developed for Claude Code. github.com/matsengrp/c... (description in README if you don't know what I'm talking about) Example uses:
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Frederick "Erick" Matsen @matsen.bsky.social · 03/08/2025
Motivated by wanting Claude Code to read papers, and something to fill PDF forms for kid summer camps, I vibe-coded github.com/matsengrp/p... Perhaps you will find it useful!
github.com
GitHub - matsengrp/pdf-navigator-mcp: Comprehensive MCP server for PDF reading, navigation, and text search
Comprehensive MCP server for PDF reading, navigation, and text search - matsengrp/pdf-navigator-mcp
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Reposted by Frederick "Erick" Matsen
William DeWitt @wsdewitt.github.io · 03/07/2025
Go Maggie! @magdalenarussell.bsky.social gets UW's Distinguished Dissertation Award for her PhD work with @matsen.bsky.social "Inferring mechanisms of V(D)J recombination using statistical inference on high-throughput immune repertoire data". 🏆
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Reposted by Frederick "Erick" Matsen
Jiansi Gao @jsigao.bsky.social · 17/06/2025
Excited to share my new preprint developed with @matsen.bsky.social, in collaboration with Marius Brusselmans, Luiz Carvalho, @msuchard.bsky.social, and @guybaele.bsky.social, on the biological causes and impacts of tree space ruggedness in phylodynamic inference. 1/ www.biorxiv.org/content/10.1...
biorxiv.org
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Reposted by Frederick "Erick" Matsen
Gabriel Victora @victora.bsky.social · 05/06/2025
Wanted to highlight our latest preprint--a huge effort by multiple people and labs, but led primarily by @wsdewitt.github.io, Tatsuya Araki, and Ashni Vora, in a very close wet-dry collaboration with @matsen.bsky.social’s lab at the Hutch www.biorxiv.org/content/10.1...
biorxiv.org
Replaying germinal center evolution on a quantified affinity landscape
Darwinian evolution of immunoglobulin genes within germinal centers (GC) underlies the progressive increase in antibody affinity following antigen exposure. Whereas the mechanics of how competition be...
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Frederick "Erick" Matsen @matsen.bsky.social · 04/06/2025
Working with Claude Code has been transformative. Yes, it does great on new code and refactoring. VSCode integration is 👍. But the big surprise: it can seamlessly edit notebooks and then view the plots to plan next steps. Time to update my blog post matsen.group/general/202...
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Frederick "Erick" Matsen @matsen.bsky.social · 31/05/2025
Many of my favorite collaborators are immigrants who face double threats of funding cuts and the anti-immigrant political climate. To them and immigrants generally: we need you, and we want you here. I understand if you want to leave but I hope you will stay and reach out.
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Frederick "Erick" Matsen @matsen.bsky.social · 28/05/2025
I'm excited about AI not as a way to get a big black-box model, but as a way to assist development of probabilistic models that get us to biological mechanism. New blog post: matsen.group/general/2025...
matsen.group
The next five years are going to be amazing for learning biological processes through probabilistic models
Biology is composed of many small interacting processes. We can use AI to develop models accordingly.
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Frederick "Erick" Matsen @matsen.bsky.social · 20/05/2025
New blog post: our recent work to understand the somatic hypermutation process that enables antibodies to incrementally improve. A story of running into the limitations of deep learning, but still gaining biological insight along the way. matsen.group/general/2025...
matsen.group
Two new approaches to learn about antibody somatic hypermutation
We try to learn about SHM mechanism and do so by directly using mechanistic models, and by exploring deep architectures.
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Frederick "Erick" Matsen @matsen.bsky.social · 18/05/2025
matsen.group/general/2025...
matsen.group
Let's blog!
My return to blogging, and why I hope to read your blog too.
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Frederick "Erick" Matsen @matsen.bsky.social · 22/04/2025
I'm excited about this talk in a week. Faruck has been doing coevolution -> structure since before it was cool, e.g. www.pnas.org/doi/abs/10.1...
pnas.org
Direct-coupling analysis of residue coevolution captures native contacts across many protein families | PNAS
The similarity in the three-dimensional structures of homologous proteins imposes strong constraints on their sequence variability. It has long bee...
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Frederick "Erick" Matsen @matsen.bsky.social · 26/02/2025
Congratulations to Maggie Russell @magdalenarussell.bsky.social for graduating from @mcbseattle.bsky.social with a phenomenal thesis. I will retell the story of her thesis through images from her papers. 🧵 (Here we are with Phil Bradley, who co-advised Maggie.)
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Frederick "Erick" Matsen @matsen.bsky.social · 02/02/2025
Big news from Sebastien Roch and collabs on phylogenetic likelihood function: "... we show that the expected log-likelihood is strongly concave and smooth in a box around the true parameter whose size is independent of both the tree topology and number of leaves." arxiv.org/abs/2501.17622
arxiv.org
Likelihood landscape of binary latent model on a tree
We study the optimization landscape of maximum likelihood estimation for a binary latent tree model with hidden variables at internal nodes and observed variables at the leaves. This model, known as t...
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Reposted by Frederick "Erick" Matsen
Richard Neher @neher.io · 11/01/2025
Building on the UShER tree of millions of SARS-CoV-2 genomes maintained by Angie Hinrichs, Hugh Haddox and Georg Angehrn (and others in @matsen.bsky.social lab and @jbloomlab.bsky.social) have looked into how the neutral mutation rate varies along the genome: [1/N] www.biorxiv.org/content/10.1...
biorxiv.org
The mutation rate of SARS-CoV-2 is highly variable between sites and is influenced by sequence context, genomic region, and RNA structure
RNA viruses like SARS-CoV-2 have a high mutation rate, which contributes to their rapid evolution. The rate of mutations depends on the mutation type (e.g., A→C, A→G, etc.) and can vary between sites ...
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Reposted by Frederick "Erick" Matsen
Yun S. Song @yun-s-song.bsky.social · 16/11/2024
Large protein language models can learn complex epistatic interactions, but how much does that help with predicting variant effects? In this NeurIPS article, we show that classical independent-sites phylogenetic models can outperform pLMs on this task. 1/7 openreview.net/forum?id=H7m...
openreview.net
Ultrafast classical phylogenetic method beats large protein...
Amino acid substitution rate matrices are fundamental to statistical phylogenetics and evolutionary biology. Estimating them typically requires reconstructed trees for massive amounts of aligned...
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Reposted by Frederick "Erick" Matsen
phyloseminar.org @phyloseminar.bsky.social · 16/11/2024
We are here! All future seminar announcements will be posted here.
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