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
Here is a repository for the manuscript titled MAPPER: An open-source, high dimensional image analysis pipeline unmasks differential regulation of Drosophila wing features developed and written by Nilay Kumar and Francisco Huizar in the Zartman lab at the University of Notre Dame.
Contributions:2 PRs, 44 pushes, 1 branch in 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Francisco Huizar - Quantitative Systems Pharmacology Scientist I