Current Events

Awarded ISoP Emerging Scientist Award

November, 2020

Chris was awarded the Emerging Scientist Award, the highest early career award given by the International Society of Pharmacometrics. This was given for the work on Pumas, the high performance nonlinear mixed effects simulation and estimation framework being adopted throughout the industry. Thank you for this honor!

Moderna adopts Pumas to Accelerate Clinical Pipelines

2020

Quoting from the press release on pumas.ai: "We have been using Pumas software for our pharmacometric needs to support our development decisions and regulatory submissions. Pumas software has surpassed our expectations on its accuracy and ease of use. We are encouraged by its capability of supporting different types of pharmacometric analyses within one software. Pumas has emerged as our "go-to" tool for most of our analyses in recent months."

Awarded ACoP 2020 Quality Award for Accelerating Drug Development with Pfizer

November, 2020

Chris was awarded the ACoP 2020 Quality Award for accelerating drug discovery pipelines with Pfizer via automated GPU-accelerated quantiative systems pharmacology. The high level description was given a press release by Julia Computing. The abstract can be found in the ACoP 2020 Abstract Book.

MIT Mathematics 18.337 Parallel Computing and Scientific Machine Learning

Fall, 2020

This year, Chris is teaching the 18.337 Parallel Computing and Scientific Machine Learning course at MIT. This course will train researchers in the field of scientific ML, showcasing how to blend methods of scientific computing (numerical linear algebra, differential equations, and optimization) with machine learning to solve cutting-edge problems. This is coupled with high performance parallel computing (distributed and GPU) for practical translation of the techniques into practice. The entire course is online and can be found at this website.