Alaa Abdellatif is a Sr Biological Data Scientist in San Francisco with a decade of experience at the intersection of computational biology and software engineering. He builds research-grade software and analysis pipelines for high-dimensional immunology and virology data, with recent work on transcriptomics, T cell receptor repertoire analysis, and LLM-driven socio-behavioral audio studies. Trained in biochemical engineering (UCL) and advanced computing and data science (Cambridge, University of San Francisco), he combines wet-lab domain knowledge with robust programming practices to translate complex biology into reproducible code. Notably, he applies novel methods—such as pitch estimation with SPICE and LLMs—to characterize youth-friendly health services, reflecting a taste for interdisciplinary, unconventional solutions. He is pragmatic and collaborative, thriving in translational research teams that require both statistical rigor and production-ready tooling.
9 years of coding experience
Master of Philosophy - MPhil Computing, Master of Philosophy - MPhil Computing at University of Cambridge
Master of Science - MS Data, Master of Science - MS Data at University of San Francisco
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