Francisco Huizar is a Quantitative Systems Pharmacology Scientist with nine years of experience applying computational biology, mathematical modeling, and data-driven decision making to drug discovery for genetic and oncology indications. Currently at Simulations Plus after a PhD at Notre Dame, he has built mechanistic QSP models, Gaussian process surrogates in PyTorch, and machine learning pipelines for de novo therapeutic design and single-cell omics analysis. He combines hands-on coding and cloud-based simulation with strong science communication—4 first-author papers, multiple fellowships, a journal front cover, and 28 conference/seminar presentations attest to his ability to translate complex models into impact. A proven project lead and mentor, he has guided cross-functional teams and supervised 17 students while contributing open-source tools to democratize biotech analyses. Motivated by a patient-centered mission, he pairs technical rigor with empathy and practical innovation, evidenced by three preclinical therapeutic discoveries and streamlined lab-to-data imaging workflows.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD (Doctorate), Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD (Doctorate), Bioengineering and Biomedical Engineering at University of Notre Dame
This is a code repository for the manuscript titled: From spikes to intercellular waves: tuning intercellular Ca2+ signaling dynamics modulates organ size control.
Contributions:2 PRs, 6 pushes in 1 year
intercellularspikeswavescode-repositorydynamics
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