Anqi Zhu (朱安琪)

A curious scientist with a prior knowledge in Biostatistics.

I am currently a statistician and bioinformatician at Genentech OMNI Bioinformatics department. In 2019-2021, I was a scientist of computational biology at 23andMe Therapeutics. I also serve as one of the organizers of the Bay Area Biotech-Pharma Statistics (BBSW) Meetups since 2020.

I graduated with a PhD from the Department of Biostatistics at The University of North Carolina Chapel Hill in 2019. I worked with Dr. Michael Love and Dr. Joseph Ibrahim to develop statistical methods for sequence count data and integrative functional genomics. During my PhD I worked at the Biostatistics Core of Lineberger Comprehensive Cancer Center collaborating with oncologists on multiple clinical and genomics studies. I also worked with Dr. Donglin Zeng on estimating and testing causal effects of drug/drug-drug interactions with electronic medical records (EMR).

My favorite statistics quote is “Statistics is the grammar of science.” by Karl Pearson.

Research Interests

• Statistical methods of genomics data
• RNA-seq and scRNA-seq data
• Statistical genetics
• Empirical Bayes methods
• Causal inference methods

Skills

• R - package development, data analaysis and visualization, RStudio
• SAS - data management and statistical procedures, certified SAS programmer
• SQL - MySQL, PostgreSQL
• High Performance Computing - SGE, slurm, LSF
• UNIX commands and bash script writing
• Git

Personal News

• September 2021 - Anqi will join Genentech OMNI Bioinformatics department.

• September 2021 - Anqi will give an invited talk for the 2021 ICSA Applied Statistics Symposium, session title Recent advances in statistical methods for large-scale omics data.

• August 2021 - Anqi will serve as the moderator for the BBSW Meetup event, in which we will discuss the genetic evidence supported drug target discovery and contributions by statisticians.