About Me
I am a PhD student in Jonathan Pritchard's lab at Stanford University. I am broadly interested in statistical and population genetics.
I have recently been thinking about the relationship between gene dosage and complex traits. We introduced the concept of the gene dosage response curve, which is a conceptual tool to think about these relationships using population-level or experimental data.
I was previously a Master's student with Emma Davenport, where I worked on using functional genomics to better understand sepsis. As an undergraduate student, I worked with David Aylor on mouse quantitative genetics and Gregory Carter on statistical genetics approaches in Alzheimer's disease cohorts.
Education
M.S. in Statistics
Stanford University (2026)
M.Phil. in Biological Sciences
University of Cambridge | Wellcome Sanger Institute (2022)
B.S. in Genetics and Computer Science
North Carolina State University (2021)
Recent Publications
| Year | Title |
|---|---|
| 2025 | High false sign rates in transcriptome-wide association studies |
| 2025 | Causal modelling of gene effects from regulators to programs to traits |
| 2025 | Allele frequencies at recessive disease genes are mainly determined by pleiotropic effects in heterozygotes |
| 2025 | Specificity, length and luck drive gene rankings in association studies |
| 2024 | Buffering and non-monotonic behavior of gene dosage response curves for human complex traits |
Recent Posts
| Year | Title |
|---|---|
| 2026 | Interpreting monotonicity and trait buffering |
| 2026 | Trait buffering of gene dosage response curves |
| 2026 | Measuring the monotonicity of gene dosage response curves |
| 2026 | Assessing burden test inflation with synonymous variants |
| 2025 | Numerical gradients through numerical integrals |