C

Chris Rackauckas

CEO

Cambridge, Massachusetts, United States15 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key 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
Stackforce AI infers this person is a Healthcare SaaS expert with a strong focus on Scientific Machine Learning and clinical trial optimization.

Contact

Skills

Core Skills

Scientific Machine Learning (sciml)Numerical SimulationPharmacometrics

Other Skills

JuliaPhysics-Informed Machine LearningArtificial Intelligence for Science (AI for Science)Healthcare AnalyticsResearchStatisticsMatlabMicrosoft OfficeLaTeXMicrosoft ExcelJavaPHPJavascriptHTML/CSSLinux

About

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.

Experience

15 yrs 9 mos
Total Experience
4 yrs 4 mos
Average Tenure
5 yrs 9 mos
Current Experience

Juliahub

VP of Modeling and Simulation

Jul 2021Present · 4 yrs 9 mos · Boston, Massachusetts, United States

  • Chris' research is Scientific Machine Learning (SciML): the integration of domain models with artificial intelligence techniques like machine learning. By using the structured scientific (differential equation) models together with the unstructured data-driven models of machine learning, our simulators can be accelerated, our science can better approximate the true systems, all while enjoying the robustness and explainability of mechanistic dynamical models.
  • Chris is the lead developer of the DifferentialEquations.jl solver suite along with hundreds of other Julia packages, earning him the inaugural Julia Community Prize and front page features on many tech community sites. Chris' work on high performance differential equation solving is the engine accelerating many applications from the MIT-CalTech CLiMA climate modeling initiative to the SIAM Dynamical Systems award winning DynamicalSystems.jl toolbox. He is the lead developer of JuliaSim, where the work is credited for the 15,000x acceleration of NASA Launch Services simulations and recently demonstrated a 60x-570x acceleration over Modelica tools in HVAC simulation. For these achievements Chris received the US Air Force Artificial Intelligence Accelerator Scientific Excellence Award. As lead developer of Pumas, he received the ISoP Mathematical and Computational Special Interest Group Award at the American Conference of Pharmacology (ACoP) 2019 for his work on improved clinical dosing via Koopman Expectations, along with the ACoP 2020 Quality Award for his work with Pfizer on GPU-accelerated quantitative systems pharmacology to accelerate preclinical analysis by 175x. Notably, Moderna adopted Pumas in 2020 to accelerate crucial clinical trials, noting "Pumas has emerged as our 'go-to' tool for most of our analyses in recent months". For these achievements, Chris received the Emerging Scientist award from ISoP, the highest early career award in pharmacometrics.
Scientific Machine Learning (SciML)JuliaPhysics-Informed Machine LearningArtificial Intelligence for Science (AI for Science)Numerical Simulation

Pumas-ai, inc.

Director of Scientific Research

Jul 2020Present · 5 yrs 9 mos · Baltimore, Maryland, United States

  • Developing the Pumas.jl software and leading research in novel methods to accelerate clinical trials through machine learning infused pharmacometrics.
JuliaNumerical SimulationPharmacometrics

Massachusetts institute of technology

Applied Mathematics Instructor

Sep 2018Present · 7 yrs 7 mos · Greater Boston Area

  • I am an applied mathematics instructor at the Massachusetts Institute of Technology. This is a department-funded postdoctural scholar position with academic freedom which I am using to pursue research in numerical differential equations and their applications to biological and pharmacological models.
Scientific Machine Learning (SciML)JuliaPhysics-Informed Machine LearningArtificial Intelligence for Science (AI for Science)Numerical Simulation

University of maryland baltimore

Senior Research Scientist

Jul 2018Jul 2021 · 3 yrs · Baltimore, Maryland Area

  • Staff at the University of Maryland, School of Pharmacy in the Center for Translational Medicine working on pharmacometric modeling and simulation.
JuliaNumerical Simulation

Uc irvine

2 roles

Postdoctoral Researcher (Stochastic Processes / Theoretical Biology)

Promoted

Jun 2018Dec 2019 · 1 yr 6 mos

  • I am a postdoctural researcher in the Nie Lab in the Mathematics department at University of California, Irvine
JuliaNumerical Simulation

Teaching Assistant

Oct 2014Jun 2019 · 4 yrs 8 mos

  • Courses taught:
  • MATH 107 Numerical Differential Equations
  • MATH 113A Mathematical Modeling in Biology.
  • MATH 130B Probability and Stochastic Processes II
  • MATH 173 Math of Finance
  • Duties included creating a syllabus, developing quizzes, lecturing twice a week, grading homework and giving feedback through office hours.
JuliaNumerical Simulation

Baidu, inc. (research in industrial projects for students (rips-hk))

Project Manager

Jun 2013Aug 2013 · 2 mos · Hong Kong

  • As part of the Research in Industrial Projects for Students (RIPS-HK) program run by UCLA's Institute for Pure and Applied Mathematics (IPAM), I led an international team of researchers on a mathematical/computational research project for Baidu, Inc. to develop new algorithms utilizing machine learning techniques for movie recommendation.

Oberlin college department of chemistry and biochemistry

5 roles

Research Assistant

Sep 2012May 2013 · 8 mos

  • I worked as a research assistant for Dr. Jesse Rowsell in the Chemistry and Biochemistry Department. The research concerns the detection of super-space symmetry from x-ray crystallography data. Specifically, we are looking at the superspace refinement of the (3+1)-dimensional incommensurately modulated phase of the hydrated sodium salt "H-Acid", a commodity dye intermediate.

Nova Model Developer and Technical Assistant

May 2012Sep 2012 · 4 mos

  • I developed computational models for the Nova 2 Model Library and for classroom use, created the World library for agent-based modeling in Nova, and wrote tutorials detailing how to script models using NovaScript. These tutorials can be found at http://www.novasimulator.com/wiki.

Web Developer

Dec 2009May 2013 · 3 yrs 5 mos

  • I created and maintained secure web forms and programs in PHP and Perl, developed the associated MYSQL relational databases for the housing data and wrote scripts to convert housing data into interactive Excel sheets for use by non-programmers.

Calculus Tutor

Sep 2009Sep 2010 · 1 yr

  • Responsibilities included teaching Oberlin College students first and second semester calculus.

Lighting and Sound Technician

Aug 2009Sep 2010 · 1 yr 1 mo

  • Designed and implemented lighting and sound for musical theater performances, dance showcases, and plays. Maintained technical equipment and built sets.

Freelance website developer

Programmer, Designer

Sep 2009Nov 2013 · 4 yrs 2 mos · Oberlin, Ohio

  • I have created and maintained websites for professors and businesses. I developed interfaces to ensure that information could be updated by individuals without programming experience. Also, I contributed my expertise to open source projects such as the jStat Javascript Statistical Library and to charitable causes like for the Maryland Department of Natural Resources. Examples of my work include Fernando Gomez Herrero’s personal page (fernandogomezherrero.com), Acoustik Musik LTD. (acoustikmusik.com), and my personal page (chrisrackauckas.com).

Education

UC Irvine

Doctor of Philosophy (Ph.D.) — Mathematics

Jan 2013Jan 2018

UC Irvine

Master’s Degree — Mathematics

Jan 2013Jan 2015

Oberlin College

Bachelor's degree

Jan 2009Jan 2013

University of Maryland, Baltimore County

Research Experience for Undergraduates — High Performance Computing and Statistics

Jan 2012Jan 2012

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