I’m a senior research associate at Michigan State University working under the direction of Steve Hsu. I’m a staff member in the Department of Physics and Astronomy, but I spend most of my time doing computational biology. I have undergraduate degrees in mathematics and physics from the University of Michigan, graduate degrees in physics (MS and PhD) under the supervision of prof. Chung-I Tan at Brown University, and previous postdoctoral research experience with prof. Christophe Royon at the University of Kansas. I also designed and taught a course in quantum information theory as a visiting assistant professor at Brown University
Research interests
Computational genetics: what can machine/deep learning tell us from genomic data? Interested in developing genetic prediction models for health care and understanding fundamental causal structure of genes.
- Polygenic Scores (PGS): methods and applications
- Polygenic Health Index Widen, Lello, Raben*, et al. SciRep 2022
- Sparse genetic architecture Yong, Raben*, et al. SciRep 2020
- PGS for a variety of phenotypes Lello, Raben*, et al. SciRep 2019
- Family based analyses of PGS
- Sibling variation and recombination Lello, Hsu, Widen, & Raben* SciRep 2023
- Sibling applications of PGS Lello, Raben*, & Hsu SciRep 2020
- PGS in diverse ancestries
- PGS prediction for biobank scale data Raben*, et al. SciRep 2023
- Biomarker prediction Widen, Raben*, et al. MDPI 2021
Physics: high energy particle physics and fundamental physics including QCD, non-perturbative physics, conformal field theory, string theory, and lattice models.
News
I recently presented a poster at ASHG 2024 about a “blockLASSO” method for fast and cheap polygenic score training. Publication to appear soon.