Assistant Prof of Human Genetics @UChicago. Working at the intersection of population, statistical and quantitative genetics. tweets my own. he/him/his
We are hosting the 2026 edition of the Midwest Population Genetics Meeting at UChicago on August 21 and 22! This is a trainee focused meeting with many opportunities to present!
I am looking for a postdoc to work in theoretical population genetics. We focus on theory and methods for inferring demographic histories and selection using modern and ancient genomic data. Come join our amazing community in Chicago. More info here: https://t.co/2NaOUsWk4F
Extinction vortices are driven more by a shortage of beneficial mutations than by deleterious mutation accumulation https://t.co/w7UdNwLDdA #biorxiv_evobio
I'm thrilled to announce that I've joined the Section of Genetic Medicine at the University of Chicago as an assistant professor! The Simons lab is officially open!
https://t.co/xzfA6aEimF
This isn't a new thought, but I'm wondering today how much of the pervasive sense of burnout or disengagement among life science professors today is a sense of soft institutional betrayal for the last three years. That our institutions do not share our morals
I am buying a -80 freezer. In my experience, this can be a hit or miss situation, so I wanted to ask the community here:
What brand and recent model (that still exist on the US market) do you highly recommend?
Which brand and model you do NOT recommend?
Our approach is simple to implement and can provide better protection against confounding than the standard PCA approach when the test of interest is known ahead of time
We then show how to correct for this bias when testing for the association between PGSs and an ancestry gradient of interest in the prediction panel by leveraging the overlap in structure between the two panels
Motivated by recent evidence of residual confounding in PGS, we first use a simple model of genetic relatedness to show how confounding in the GWAS biases the distribution of PGS in the prediction panel in a way that depended on the overlap in population structure between panels
If anyone knows of any data science / pop gen positions in industry please get in touch! NYC area or remote.
@Color laid off ~50% of the company. Genomics R&D work basically out. Frustrating news, but proud of my contributions and grateful for all I learned & great colleagues.