Julia Olivieri headshot

Julia Olivieri

Assistant Professor
Chambers 120
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I’m Dr. Julia Olivieri, Assistant Professor of Computer Science at the University of the Pacific. My research lies at the intersection of computer science, biology, and statistics. Specifically, I develop algorithms to perform large-scale, rigorous analysis of RNA sequencing data. In 2022, I graduated with my PhD from Stanford University’s Institute for Computational and Mathematical Engineering with a thesis on splicing analysis in single-cell RNA sequencing data.

My passion for teaching is what drove me to become a professor. I am committed to using inclusive teaching practices to make the most out of every learning experience, whether it be online, asynchronous, or in-person. I design my courses with the goal of making every student successful, regardless of their starting point. I particularly enjoy introducing students to new subjects, with a focus on courses related to discrete math, data analysis, and computational biology.


Ph.D., Computational & Mathematical Engineering, Stanford University, 2022

M.S., Computational & Mathematical Engineering, Stanford University, 2022

B.A., Mathematics, Oberlin College, 2016

B.A., Biology, Oberlin College, 2016

Curriculum Vitae
Dec_2022_CV.pdf (135.62 KB)
Research Focus
  • Single-Cell RNA Sequencing
  • Differential Alternative Splicing
  • Statistical Methods in Biology
  • Discrete Mathematics and Algorithms

Recent Publications

JE Olivieri*, R Dehghannasiri*, J Salzman. The SpliZ generalizes 'percent spliced in' to reveal regulated splicing at single-cell resolution. Nat Methods. (2022) 19(3):307-310. doi: 10.1038/s41592-022-01400-x. 

R Dehghannasiri*, JE Olivieri*, A Damljanovic, J Salzman. Specific splice junction detection in single cells with SICILIAN. Genome Biology. (2021)  22, 219. doi: 10.1186/s13059-021-02434-8.

JE Olivieri*, R Dehghannasiri, PL Wang, S Jang, A de Morree, SY Tan, J Ming, AR Wu, Tabula Sapiens Consortium, SR Quake, MA Krasnow, J Salzman. RNA splicing programs define tissue compartments and cell types at single-cell resolution. eLife. (2021) doi: 10.7554/eLife.70692.