Sabah Ul-hasan is an AI biology and bioinformatics consultant with over a decade of experience turning complex biological data into compliant, decision-ready systems for health, biotech, and AI teams. She has led regulatory-grade mutation surveillance programs and scalable computational pipelines that improved detection sensitivity and slashed processing time, and now architects LLM benchmarking and evaluation frameworks to align biological rigor with AI engineering. Comfortable in both academic and industry settings, she has built knowledge-graph pipelines, machine learning tools for drug repurposing, and community programs that grew cross-institutional engagement threefold. Sabah blends hands-on software and workflow engineering with stakeholder-facing impact reporting, securing project extensions through clear evidence of value. Based in Albuquerque, she pairs a PhD in Quantitative & Systems Biology with a practical scientist’s curiosity—she still codes and calls herself a “scientist in spare time,” reflecting a continual drive to experiment across domains.
10 years of coding experience
The University of Utah
Master of Science - MS Biochemistry (marine science focus), Master of Science - MS Biochemistry (marine science focus) at University of New Hampshire
TESOL Certificate (Teaching English to Speakers of Other Languages), TESOL Certificate (Teaching English to Speakers of Other Languages) at University of San Diego
Doctor of Philosophy - PhD Quantitative & Systems Biology (Computational Biology / Bioinformatics), Doctor of Philosophy - PhD Quantitative & Systems Biology (Computational Biology / Bioinformatics) at University of California, Merced
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Sabah Ul-hasan - AI Biology & Bioinformatics Consultant