Tami Gjorgjieva
banner
tamigj.bsky.social
Tami Gjorgjieva
@tamigj.bsky.social
Complex traits, gene regulation, ELSI (ethical, legal, and social implications of) genetics

PhD candidate with the Pritchard Lab @Stanford
New paper alert 🚨 w/ @NoahRosenberg, out in EJHG (www.nature.com/articles/s41...) 🧵
Toward minimal SNP sets for record-matching with CODIS STR profiles - European Journal of Human Genetics
European Journal of Human Genetics - Toward minimal SNP sets for record-matching with CODIS STR profiles
www.nature.com
September 25, 2025 at 5:32 PM
Reposted by Tami Gjorgjieva
We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics.
www.biorxiv.org/content/10.1...
(1/n)
September 22, 2025 at 5:29 AM
Reposted by Tami Gjorgjieva
Staff scientist position (computational):

I am looking for a computational scientist to join my genomics lab at Stanford. They should have an outstanding skillset in ML/statistical methods for genomic applications, postdoc experience and a strong publication record.
#sciencejobs
July 7, 2025 at 3:27 PM
What a joy to work on exciting science AND do it with a great friend like @itskatelawrence.bsky.social! Check out her 🧵 on our recent preprint with @sbmontgom.bsky.social:
Excited to share my first PhD paper in the @sbmontgom.bsky.social lab with @tamigj.bsky.social (www.biorxiv.org/content/10.1...)! Standard QTL methods treat each gene independently. But what if a single variant regulates multiple nearby genes at once - what we call “allelic proxitropy”? 🧵 ⬇️
June 9, 2025 at 5:14 PM
Reposted by Tami Gjorgjieva
Modern GWAS can identify 1000s of significant hits but it can be hard to turn this into biological insight. What key cellular functions link genetic variation to disease?

I'm very excited to present our new work combining associations and Perturb-seq to build interpretable causal graphs! A 🧵
January 26, 2025 at 12:13 AM
Reposted by Tami Gjorgjieva
Thrilled to share the first paper of my PhD! It was so much fun working on this collaborative project from day one as a rotation student! Huge thanks @khoulahan.bsky.social, @lisemangiante.bsky.social, @crissotomayor.bsky.social, @cncurtis.bsky.social, Jennifer Caswell-Jin & the Curtis lab!
January 8, 2025 at 11:35 PM
Reposted by Tami Gjorgjieva
What do GWAS and rare variant burden tests discover, and why?

Do these studies find the most IMPORTANT genes? If not, how DO they rank genes?

Here we present a surprising result: these studies actually test for SPECIFICITY! A 🧵on what this means... (🧪🧬)

www.biorxiv.org/content/10.1...
Specificity, length, and luck: How genes are prioritized by rare and common variant association studies
Standard genome-wide association studies (GWAS) and rare variant burden tests are essential tools for identifying trait-relevant genes. Although these methods are conceptually similar, we show by anal...
www.biorxiv.org
December 17, 2024 at 7:05 AM
Reposted by Tami Gjorgjieva
In a new preprint led by @TheNikhilMilind, we explored a fascinating paradox:
For many traits the number of duplications or loss-of-function (LoF) mutations is correlated with phenotype. Curiously, for most traits, the AVERAGE direction of LoFs and Dups is the SAME. Why?
November 22, 2024 at 4:45 PM
Reposted by Tami Gjorgjieva
Just posting this to #popgen
Here's a link to my notes on population & quantitative genetics:
github.com/cooplab/popg...
Hoping to extend it more after the winter holidays, as I'm just finishing up teaching the undergrad version of class.
Releases · cooplab/popgen-notes
Population genetics notes. Contribute to cooplab/popgen-notes development by creating an account on GitHub.
github.com
November 19, 2024 at 11:37 PM
Reposted by Tami Gjorgjieva
🧬 What are protein language models (PLMs) actually learning about biology? Our paper introduces InterPLM - a framework that reveals interpretable features in PLMs using sparse autoencoders, giving us a window into how these models represent protein structure and function.
🧵(1/8)
November 19, 2024 at 7:36 PM
Reposted by Tami Gjorgjieva
I’ve decided to leave Scientific American after an exciting 4.5 years as editor in chief. I’m going to take some time to think about what comes next (and go birdwatching), but for now I’d like to share a very small sample of the work I’ve been so proud to support (thread)
November 14, 2024 at 7:23 PM