Jessica Au

B.S., Mathematics and Scientific Computation- Biology emphasis, University of California, Davis, 2017
Minor, Bioinformatics and Quantitative Biology, University of California, Davis, 2017
B.S., Mathematics and Scientific Computation- Biology emphasis, University of California, Davis, 2017
Minor, Bioinformatics and Quantitative Biology, University of California, Davis, 2017
B.S., Biochemistry and Cell Biology and Applied Math, University of California San Diego, 2019
M.S., Immunology, Harvard Medical School, 2021
For the past 500 years, the American continent has been the site of ongoing mixing of Europeans, Native Americans, Africans and Asians, resulting in a significant percentage of Americans carrying ancestry from outside their self-identified race. However, genome-wide association studies (GWAS) and polygenic risk score (PRS) calculations have been performed and optimized on individuals of European descent, with minor exceptions. As part of CAST (Center for Admixture Science and Technology), we are developing methods to perform GWAS and calculate PRS on diverse and admixed populations, using large diverse cohorts, such as the All of Us and Million Veteran Program.
B.S., Biochemistry and Molecular Biology, UC Santa Barbara, 2020
2021-22 Trainee on NIH Training Grant in Bioinformatics
2021-22 Trainee on NIH Training Grant in Bioinformatics
2021-22 Trainee on NIH Training Grant in Bioinformatics
B.S., Computer Science, University of California, Los Angeles, 2021
B.S., Computational and Systems Biology, University of California, Los Angeles, 2021
2021-23 Trainee on NIH Training Grant in Bioinformatics
2021-23 Trainee on NIH Training Grant in Bioinformatics
2021-24 Trainee on National Library of Medicine (NLM) Training Grant Fellowship Program
2021-24 Trainee on National Library of Medicine (NLM) Training Grant Fellowship Program