Austin Baird
Algorithm Engineer at MORSE Corp
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolAustin Baird is an Algorithm Engineer and Research Affiliate at the University of Washington with 11 years of experience building high-performance simulation and modeling platforms for healthcare and national security. He combines a PhD in Applied Mathematics with hands-on modern C++ and Python engineering to deliver deployable, resilient systems—from BioGears physiological engine leadership to AI-driven healthcare simulations and event-camera vision algorithms. Austin has repeatedly led multidisciplinary teams, won millions in government research funding, and translated clinical collaboration into validated models and production build systems. He is as comfortable authoring grant proposals and course curricula as he is implementing CI/CD, build automation, and extensible data infrastructures. Notably, his work often connects wet-lab data to computational frameworks (e.g., tissue mechanics databases and MoHSES) to make models directly useful to clinicians and decision-makers.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at The University of North Carolina at Chapel HillUniversity of California Santa Cruz
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
journal9
open-access9
academia7
creative-commons7
visualizer6
visualization6
data-visualization3
Programming languages (3)
Github contributions (5)
ajbaird/core
Oct 2020 - Nov 2025
Repository for libbiogears and all core utilities
Contributions:12 PRs, 127 pushes, 22 branches in 5 years 1 month
BioGearsEngine/Engine
Jun 2017 - Jul 2018
Deprecated prior release. Please see Core for current engine.
Contributions:2 releases, 29 commits, 1 PR in 1 year 1 month
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