Hi, my name is Jingyou (Rose) Rao, and I’m currently a Computer Science PhD student at University of California, Los Angeles working with Harold Pimentel. I’m interested in the study of gene functions and interactions through statistics and machine learning. Currently, I develop Bayesian models for deep mutational scanning data to investigate the genotype-phenotype relationships.
Previously, I completed my bachelor’s degree programs in Computer Science and Computational and Systems Biology at University of California, Los Angeles.
Recent News
[May 2024] Presented a workshop talk on statistical inference methods of deep mutational scanning (DMS) in Mutational Scanning Symposium 2024 hosted at the Broad Institute.
[November 2023] Advancement to candidacy for the doctoral degree.
Publications
- Rao, J., Xin, R., Macdonald, C. et al. Rosace: a robust deep mutational scanning analysis framework employing position and mean-variance shrinkage. Genome Biol 25, 138 (2024). https://doi.org/10.1186/s13059-024-03279-7
Presentations
J. Rao: “Modeling Growth-based Deep Mutational Scanning Counts with Rosace” Variant Effects Seminar Series by Atlas of Variant Effects Alliance, Virtual (August 2024; Invited Talk) Youtube link.
J. Rao, H. Pimentel: “What is in a variant score?” Mutational Scanning Symposium, the Broad Institute, USA (May 2024; Workshop Talk) Youtube link. Highlighted in news.
J. Rao, H. Pimentel: “Computational approaches for inferring gene regulation in in situ perturbation screens” Biological Data Science, Cold Spring Harbor Laboratory, USA (November, 2022; Talk)
J. Rao, N. Mancuso, H. Pimentel: “Quantifying uncertainty in estimation of isoform expression heritability” Genome Informatics, Cold Spring Harbor Laboratory, USA (November, 2021; Poster presentation)
J. Rao, K. Burch, H. Pimentel: “Quantifying uncertainty in heritability estimation with small sample sizes” Bruins-In-Genomics Summer, UCLA, USA (August, 2020; Oral presentation)