Hsuan-lin Her is a bioinformatics scientist and ML researcher with 10 years of experience building sequence-to-function models and end-to-end systems that translate regulatory sequence signals into actionable insights. Currently at Guardant Health, Hsuan-lin contributes to FDA regulatory submissions for companion diagnostics while developing LLM-driven retrieval-augmented frameworks to streamline regulatory workflows. With a PhD from UCSD in Bioinformatics & Systems Biology, their work spans large-scale NGS and CLIP-seq analysis, custom loss design for biologically aligned deep learning, and variant effect prediction linked to phenotypes. They combine rigorous model benchmarking and scalable pipelines (Snakemake, CI/CD, PyTorch) with practical productization for variant interpretation and oligonucleotide design. Less obvious: they bridge clinical training as an MD candidate background with advanced computational methods, positioning them to drive translational AI in regulatory genomics and therapeutic development.
10 years of coding experience
6 years of employment as a software developer
University of California, San Diego
Doctor of Medicine - MD, Medicine, Doctor of Medicine - MD, Medicine at Taipei Medical University
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