Chris Rackauckas — CEO
Chris’ research in Scientific Machine Learning (SciML) centers on the integration of domain models with artificial intelligence techniques like machine learning. Using mechanistic scientific (differential equation) models together with the data-driven models of physics-informed machine learning, our AI for science can better approximate the real world with digital twins. Chris has extensive experience developing tools for Modeling and Simulation in the Julia ecosystem. His tools as part of the Open Source SciML Organization have enabled state-of-the-art performance across a range of applications, from being an integral part of the MIT-CalTech CLIMA climate modeling initiative, causing a 15,000x acceleration of NASA Launch Services simulations, and demonstrating a 60x-570x acceleration over Modelica tools in HVAC simulation. His work on DifferentialEquations.jl along with hundreds of other Julia packages has earned many awards in IEEE conferences, mathematics best paper awards, and the inaugural Julia Community Prize. Chris has extensive industry experience in translating numerical mathematics to industrial practice as the original architect and founding member of PumasAI, for which his Pumas nonlinear mixed effects (NLME) clinical trial analysis engine received the ISoP Mathematical and Computational Special Interest Group (MCSIG) Award at the American Conference of Pharmacology (ACoP) 2019 for improved clinical dosing, along with the ACoP 2020 Quality Award for work with Pfizer on GPU-accelerated quantitative systems pharmacology to accelerate preclinical analysis by 175x. Notably, Moderna adopted Pumas in 2020, stating “Pumas has emerged as our ‘go-to’ tool for most of our analyses” including the record-breaking COVID-19 vaccine. In 2021 Chris demonstrated the first end-to-end SciML workflow for clinical pharmacology via DeepNLME, earning the 2021 ISoP MCSIG Award. For these collective achievements, Chris received the Emerging Scientist award from ISoP, the highest early career award in pharmacometrics, and PumasAI was named Best Clinical Pharmacology Technology Firm by the 9th Annual Biotechnology Awards. Chris is currently the VP of Modeling and Simulation at JuliaHub and the Chief Architect of JuliaSim, a new acausal Modeling and Simulation tool developed to integrate SciML and digital twins with high-level modeling workflows. Chris is working to translate SciML to safety-critical flight software and industrial engineering practice by incorporating symbolic-numeric techniques into the mathematical pipelines.
Stackforce AI infers this person is a Healthcare SaaS expert with a strong focus on Scientific Machine Learning and clinical trial optimization.
Location: Cambridge, Massachusetts, United States
Experience: 15 yrs 9 mos
Skills
- Scientific Machine Learning (sciml)
- Numerical Simulation
- Pharmacometrics
Career Highlights
- 15,000x acceleration of NASA Launch Services simulations
- Pumas adopted by Moderna for COVID-19 vaccine analysis
- Emerging Scientist award from ISoP for pharmacometrics
Work Experience
JuliaHub
VP of Modeling and Simulation (4 yrs 9 mos)
Pumas-AI, Inc.
Director of Scientific Research (5 yrs 9 mos)
Massachusetts Institute of Technology
Applied Mathematics Instructor (7 yrs 7 mos)
University of Maryland Baltimore
Senior Research Scientist (3 yrs)
UC Irvine
Postdoctoral Researcher (Stochastic Processes / Theoretical Biology) (1 yr 6 mos)
Teaching Assistant (4 yrs 8 mos)
Baidu, Inc. (Research in Industrial Projects for Students (RIPS-HK))
Project Manager (2 mos)
Oberlin College Department of Chemistry and Biochemistry
Research Assistant (8 mos)
Nova Model Developer and Technical Assistant (4 mos)
Web Developer (3 yrs 5 mos)
Calculus Tutor (1 yr)
Lighting and Sound Technician (1 yr 1 mo)
Freelance Website Developer
Programmer, Designer (4 yrs 2 mos)
Education
Doctor of Philosophy (Ph.D.) at UC Irvine
Master’s Degree at UC Irvine
Bachelor's degree at Oberlin College
Research Experience for Undergraduates at University of Maryland, Baltimore County