Iris Chin is a PhD candidate in neurogenomics at Gladstone Institutes and UCSF with nine years of research experience interrogating how noncoding genetic variation drives Alzheimer’s and Parkinson’s disease risk. She blends wet-lab expertise—CRISPR editing, hiPSC-derived brain models, and NGS assays like ATAC-seq and RNA-seq—with machine learning and large-scale functional screens (MPRA) to move hypotheses from single-cell datasets to perturbation experiments. Based in San Francisco, she also represents graduate students on the Gladstone Mentoring Committee, organizing mentorship and alumni networking initiatives. Her background includes industry experience at Genentech and a track record of managing lab operations during crisis, reflecting both technical depth and operational leadership. A practiced science communicator and former podcast producer, she excels at translating complex genomics findings for broader audiences. Notably, she pairs rigorous experimental design with data-science instincts that uncover subtle regulatory signals in patient brain tissue.
9 years of coding experience
5 years of employment as a software developer
Henry M. Gunn High School
Bachelor of Arts - BA Neuroscience, Bachelor of Arts - BA Neuroscience at Washington University in St. Louis
Doctor of Philosophy - PhD Biomedical Sciences, Doctor of Philosophy - PhD Biomedical Sciences at University of California, San Francisco
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