Welcome to my personal website! As a mathematician at Northrop Grumman, I work on algorithms for Space Sytems sector with an emphasis on numerical optimization, inverse problems, and state estimation. I receive my PhD in Applied Mathematics from the University of Colorado - Boulder working with Stephen Becker. I have a broad background in mathematics, machine learning, signal processing, and physical simulations. Although this website is a work in progress, you can find information about my research including a few projects I’ve worked on over the years.
Recent News
June 2022
- Started as a Principal Mathematician at Northrop Grumman in Boulder.
April 2022
- Succesfully defended my dissertation titled “Mathematical Formulations with Uncertain Data in Optimization and Inverse Problems”.
February 2022
- Our paper on TROPHY (a mixed precision trust region algorithm for numerical optimization) was accepted at ICCS 2022. We will be presenting this work in June.
December 2021
- I was fortunate to share my work on brain imaging and other topics in applied math with the Institute for Human Neuroscience at Boys Town Research Hospital in Omaha, Nebraska.
September 2021
- Our paper "A study of scalar optically-pumped magnetometers for use in magnetoencephalography without shielding" was accepted by Physics in Medicine and Biology. A preprint can be found here.
July 2021
- Presented our recent work on uncertain regression problems at SIAM OPT, Spokane, WA (remote). Slides can be found here.
May 2021
- For the summer, I will be splitting time between Argonne National Laboratory as a Givens Associate and Los Alamos National Laboratory. A central focus of my work will be on efficient computation using mixed precision floating point arithmetic and its limitations in scientific computing.
April 2021
- I successfully passed my comprehensive exams! Thank you to my committee, Stephen Becker, Svenja Knappe, Jem Corcoran, Emiliano Dall’Anese , and Will Kleiber.
- We posted our preprint "Approximate maximum likelihood estimators for linear regression with design matrix uncertainty" to ArXiv.
March 2021
- Our work on approximate maximum likelihood estimation for regression was presented at SIAM FRAMC in Denver, CO (remote). Slides can be found here.
November 2020
- Our paper "Robust least squares for quantized data matrices was accepted at Signal Processing.
June 2020
- Rocky Clancy (my brother and an ethicist) will be presenting work on "Mapping concepts engineering students in China use to think about ethics". Although I only contributed a bit of code, I am happy to have two Clancys on a conference proceeding.
May 2020
- My summer will be spent at FieldLine, Inc. continuing work on the simulation and solution of inverse problems for brain imaging.
March 2020
- A preprint for our new paper "Robust least squares for quantized data matrices" can be found on arXiv.
May 2019
- I will be interning at Sensory, Inc. as part of the Vision Research team.
January 2019
- I have officially completed the preliminary exam portion of the PhD degree by passing the Probability and Statistics exam! In addition, I am done with course work!
August 2018
- To my great relief, I passed the Numerical Analysis and Applied Analysis preliminary exams!