Michael Pablo
Senior Scientist at Takeda
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolMichael Pablo is a Senior Scientist with nine years of experience using mechanistic and statistical modeling to guide therapeutic development, currently leading PK/PD and QSP efforts at Takeda in Boston. He combines ODE, PDE, agent-based, and stochastic simulation expertise with hands-on data fitting (MCMC, evolutionary algorithms) to translate preclinical and clinical data into actionable predictions. His background spans infectious disease and rare neuroscience indications, including calibrated SARS-CoV-2 and herpesvirus models developed in close collaboration with virologists, protein engineers, and biophysicists. Comfortable deploying workloads on HPC clusters and building analysis tools for imaging and single-particle tracking, he bridges computational rigor and experimental practice. Michael’s trajectory from PhD work on molecular noise in yeast to leading translational modeling reflects a persistent focus on using quantitative models to de-risk therapeutic programs. He’s notable for integrating diverse modeling formalisms into unified workflows that directly inform drug development decisions.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Chemistry, Bachelor of Science (BS) Chemistry at Northeastern UniversityDoctor of Philosophy (Ph.D.) Chemistry, Doctor of Philosophy (Ph.D.) Chemistry at University of North Carolina at Chapel Hill
English
Github Skills (4)
python1
matlab1
conda1
toolbox1
Programming languages (1)
Github contributions (5)
mikepab/quadtree_min_vf
Jul 2016 - Aug 2016
Contributions:2 PRs, 4 pushes, 2 branches in 18 days
particletestingoptimizationcode-testingcollision
mikepab/ratiometric-gpcr-particle-sims
Jun 2019 - Sep 2019
Contributions:4 pushes, 1 branch in 2 months
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