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Chris Rackauckas has extensive work experience in various roles related to mathematics, scientific research, and software development.

From 2021, Chris has been working at Julia Computing as the VP of Modeling and Simulation. Their research focuses on Scientific Machine Learning, specifically integrating domain models with artificial intelligence techniques like machine learning. Chris is also the lead developer of the DifferentialEquations software.

Prior to Julia Computing, from 2018 to 2021, Chris worked at the University of Maryland Baltimore as a Senior Research Scientist. Chris also held the position of an Applied Mathematics Instructor at the Massachusetts Institute of Technology (MIT) from 2018, where they pursued research in numerical differential equations and their applications to biological and pharmacological models.

In 2020, Chris served as the Director of Scientific Research at Pumas-AI, Inc. Their responsibilities included developing the Pumas.jl software and leading research in novel methods to accelerate clinical trials through machine learning-infused pharmacometrics.

Before that, from 2014 to 2019, Chris worked at UC Irvine as a Postdoctoral Researcher in Stochastic Processes/Theoretical Biology. Chris also worked as a Teaching Assistant, teaching courses such as Numerical Differential Equations and Probability and Stochastic Processes.

From 2009 to 2013, Chris worked as a Freelance Website Developer, creating and maintaining websites for various clients. Chris also contributed to open-source projects and charitable causes.

In 2013, Chris was a Project Manager at Baidu, Inc. as part of the Research in Industrial Projects for Students (RIPS-HK) program. Chris led an international team of researchers on a mathematical/computational research project focused on developing new algorithms utilizing machine learning techniques for movie recommendation.

Chris's earlier experiences include working as a Research Assistant and Web Developer at Oberlin College Department of Chemistry and Biochemistry. Chris also served as the Nova Model Developer and Technical Assistant, developing computational models and writing tutorials for agent-based modeling.

Overall, Chris Rackauckas has a diverse work history encompassing scientific research, teaching, software development, and project management.

Chris Rackauckas has an extensive education history. In 2009, they obtained their Bachelor's degree in Mathematics from Oberlin College, where they also completed minors in Physics, Computer Science, and Economics. In 2012, they participated in the Research Experience for Undergraduates program at the University of Maryland, Baltimore County, focusing on High Performance Computing and Statistics. Continuing their academic journey, Chris attended UC Irvine from 2013 to 2015, earning a Master's Degree in Mathematics. Chris further pursued their studies at UC Irvine and completed their education with a Doctor of Philosophy (Ph.D.) in Mathematics in 2018.