Assistant Professor, Computer Science, CU Boulder, 2018 – present
Postdoc, AeroAstro, MIT, 2016 – 2018
PhD, Computational Science, Engineering, & Mathematics, UT Austin, 2016
MS, Computational & Applied Mathematics, UT Austin, 2012
BA, Physics, Scripps College, 2008

Curriculum vita

Lab guidelines and other info

Lab guidelines
Four golden lessons by Steven Weinberg
Research software first steps by Teo Price-Broncucia

Some recent talks

Triangular transport for learning probabilistic graphical models ICERM, May 2023
Highly reduced models of random ODEs: A framework, some examples, and analysis IU Bloomington IMAG/MSM Seminar, April 2024

In the news

How did the division of labor emerge in animals and humans? Little-known organisms hold clues CU Boulder Today, 11/12/24
Group profile by Grace Wilson CU Boulder CS Department, 5/4/24
Interview with Jessie Finocchiaro CU Boulder CS Neural Network, 4/23/21
Covid models show how to avoid future lockdowns Scientific American, 11/24/20
Covid-19: Why most virus models are wrong Westword, 05/12/20
Scientists develop tool to improve disease model accuracy CU Boulder Today, 05/05/20

Bio

Rebecca Morrison is an assistant professor in the Computer Science Department at CU Boulder. Before joining CU, she was a postdoc in the AeroAstro Department at MIT, received her PhD in Computational Science, Engineering, and Mathematics at UT Austin, and completed a BA in Physics at Scripps College. Rebecca’s research identifies and exploits sparse structures (sparse graphical models or sparse dynamics) in nonlinear, interacting, multi-physics, and/or non-Gaussian systems. She also works on a variety of topics within the fields of calibration, validation, and uncertainty quantification, and has experience with applications including combustion, epidemiology, climate, satellites and reentry vehicles, and space weather. Rebecca currently serves as Program Director for the SIAM Activity Group on Data Science; contributes to computational libraries for Bayesian methods, uncertainty quantification, and epidemiology; and received the Johnson & Johnson Women in STEM2D Award in Mathematics.

At the barn

Rebecca & Max at Blue Cloud Farms, July 2022 Rebecca & Max at Blue Cloud Farms, July 2022