### Better to marry renewables than to burn fossil fuels in border states

Aimee Maurais, Arianna Krinos, "Better to marry renewables than to burn fossil fuels in border states." *The Journal of Undergraduate Mathematics and its Applications*, 2018.

- S.M. Computational Science and Engineering, Massachusetts Institute of Technology, 2022
- B.S. Mathematics, Virginia Tech, 2019
- B.S. Computational Modeling and Data Analytics, Virginia Tech, 2019

- MIT Lincoln Laboratory: Associate Technical Staff (2019-2021)
- Modeling and simulation, algorithm design, and software development for threat detection

- National Science Foundation Graduate Research Felllow, 2020-2025
- College of Science Outstanding Senior, Virginia Tech, 2019
- Mathematical Contest in Modeling Outstanding Winner, 2018 & 2019

### Better to marry renewables than to burn fossil fuels in border states

Aimee Maurais, Arianna Krinos, "Better to marry renewables than to burn fossil fuels in border states."

*The Journal of Undergraduate Mathematics and its Applications*, 2018.### Computational Tools for Bayesian Inverse Problems with Python Implementations

Aimee Maurais, "Computational Tools for Bayesian Inverse Problems with Python Implementations." Undergraduate Honors Thesis, 2019.

### Nuggets of Wisdom from Destinations Doomed Due to Dragon Dominion

Aimee Maurais, Arianna Krinos, "Nuggets of Wisdom from Destinations Doomed Due to Dragon Dominion."

*The Journal of Undergraduate Mathematics and its Applications*, 2019.### Parameter and Uncertainty Estimation for a Model of Atmospheric CO$_2$ Observations

Aimee Maurais, Arianna Krinos, "Parameter and Uncertainty Estimation for a Model of Atmospheric CO$_2$ Observations."

*SIAM Undergraduate Research Online*, 2019.### Multifidelity Covariance Estimation Three Ways

Aimee Maurais, "Multifidelity Covariance Estimation Three Ways." Master's Thesis, 2022.

### Multi-fidelity covariance estimation in the log-Euclidean geometry

Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef Marzouk, "Multi-fidelity covariance estimation in the log-Euclidean geometry." In

*International Conference on Machine Learning.*PMLR, 2023.### Adaptive algorithms for continuous-time transport: homotopy-driven sampling and a new interacting particle system

Aimee Maurais and Youssef Marzouk, "Adaptive algorithms for continuous-time transport: homotopy-driven sampling and a new interacting particle system." NeurIPS Workshop on Optimal Transport and Machine Learning, 2023.

### Sampling in Unit Time with Kernel Fisher-Rao Flow

Aimee Maurais and Youssef Marzouk, "Sampling in unit time with kernel Fisher-Rao flow." In

*International Conference on Machine Learning.*PMLR, 2024.### Multifidelity covariance estimation via regression on the manifold of symmetric positive definite matrices

Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef Marzouk, "Multifidelity covariance estimation via regression on the manifold of symmetric positive definite matrices." SIAM Journal on Mathematics of Data Science (accepted), 2024.

### Parameter and Uncertainty Estimation for a Model of Atmospheric CO2 Observations

Talk at Virginia Tech Department of Mathematics, Blacksburg, VA

### Better to Marry Renewables than Burn Fossil Fuels with Passion

Conference Presentation at MAA Mathfest, Denver, CO

### Multifidelity Covariance Estimation Three Ways

Conference Presentation at SIAM Conference on Uncertainty Quantification, Atlanta, GA

### Riemannian Multifidelity Covariance Estimation from Statistically Coupled Observations

Talk at Dartmouth College Department of Mathematics, Hanover, NH

### Riemannian Multifidelity Covariance Estimation from Statistically Coupled Observations

Conference Presentation at SIAM Conference on Computational Science and Engineering, Amsterdam, NL

### Riemannian Multifidelity Covariance Estimation from Statistically Coupled Observations

Talk at MIT Aerospace Computational Science and Engineering Lab Seminar, Cambridge, MA

### Sampling in Unit Time with Kernel Fisher-Rao Flow

Conference Presentation at SIAM Conference on Uncertainty Quantification, Trieste, Italy

### Sampling in Unit Time with Kernel Fisher-Rao Flow

Talk at Mathematics of Machine Learning Seminar at UMass Amherst, Amherst, MA

### Dynamic Transport for Sampling: Kernel Fisher-Rao Flow and Beyond

Talk at Queensland University of Technology Centre for Data Science & School of Mathematical Sciences, Brisbane City, QLD, Australia

### Dynamic Transport in High Dimensions: How do we get it to work?

Talk at Workshop on Numerical Methods for Complex High-Dimensional Systems, Jervis Bay, NSW, Australia

- Broader Engagement (BE) Committee, Sustainable Horizons Institue, 2019-Present
- Housing Chair, BE at SIAM Mathematics of Data Science 2022
- Social Chair and Gather.town Czar, BE at SIAM Computational Science and Engineering 2021

- Recent College Graduate Employee Resource Group Committee, MITLL, 2020-2021
- Women in Data Science Blacksburg Co-Ambassador, 2019