Andrew Schroeder, M.P.H.

Bioinformatics Scientist
UCSF Genomics CoLab & Department of Pulmonology
555 Mission Bay Boulevard South, 252
San Francisco, CA 94158

Andrew Schroeder is a Bioinformatics Scientist in the UCSF Genomics CoLab & Dept. of Pulmonology where he builds computational pipelines for next-generation sequencing analysis (e.g. RNA-seq and scRNA-seq). He is responsible for transcript quality, cell quality, differential gene expression analysis, single-cell developmental trajectory analysis, receptor-ligand analysis, pathway and gene ontology analysis. His background as a Research Data Analyst in the UCSF Medical Center was in analysis of high-throughput-omics and clinical data for biomarket discovery, outcome prediction and statistical inference. Statistical methods applied using R: FDR, Regression, Random Forests, support vector machines, neural networks, LASSO, t-SNE, and PCA.

Prior to coming to UCSF, Andrew was a Graduate Intern in Biostatistics and Machine Learning at the NASA Langley Research Center in Hampton, Virgina where he trained machine learning algorithms on repeated measures human subject data using R to predict human response to sound. His work was published in the Journal of Acoustical Society https://asa.scitation.org/doi/abs/10.1121/1.5035683.

Additionally, Andrew held an previous internship in Biostatistis and Machine Learning at the National Human Genome Research Institute of the NIH in Baltimore, Maryland and was a Graduate Research Assistant at Washington University, St. Louis Institute for Public Health, St. Louis, Missouri where he compared neoadjuvant chemotherapy drug regimens using statistical methods.

Andrew holds a Master of Public Health (MPH) from St. Louis University, St. Louis, MO and is certified in Public Health by the National Board of Public Health Examiners. He received his undergraduate degree from Southern Illinois University, Edwardsville, IL.

Publications: 

https://scholar.google.com/citations?user=8HoBVHEAAAAJ&hl=en