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PhD, Applied Mathematics

North Carolina State University, Raleigh, NC, USA

• Goodnight Doctoral Fellow PhD in Applied Mathematics
• Currently studying deep learning approximations to solution operators, deep learning reduced order models, and physics informed neural networks

MS, Applied Mathematics

North Carolina State University, Raleigh, NC, USA

• Qualifying examinations in numerical analysis, biomathematical modeling, and partial differential equations
• Predominant focus on computational functional analysis, machine learning, numerical PDEs, and computational inverse problems
• Teaching and instructional experience across a variety of undergraduate mathematics courses
• Assistant Director, NCSU Undergrad Directed Reading Program
• Referee, Triangle Computational Math Modeling Contest

BS, Mathematics & Computer Science

Tulane University of Louisiana, New Orleans, LA, USA

• Bachelors of Science in Mathematics and Computer Science with a minor in Philosophy (GPA 3.91).
• Focus on statistics, data science, machine learning, and computer programming.
• Extensive research experience across multiple independent and university-backed projects.

Database Developer

Vanderbilt University Medical Center, Nashville, Tennessee

• Developed Java-based application and controller software for patient data within VUMC relational data lakes to improve and streamline query and exporting methods.
• Produced deployable enterprise-grade services, profiles, and utilities to align unorganized study data with institutional workflows and access procedures.

Machine Learning Intern

National Center for Atmospheric Research, Boulder, Colorado

• Streamlined distributed neural network used to decompress cloud particle algorithms in PyTorch to improve performance and decrease computational load as part of the NCAR Computational and Information Systems Lab.
• Conducted data management and processing, as well as model training and evaluation in parallel on the NSF Derecho computer.
• Collaborated with NOAA and NCAR developers, atmospheric scientists, and hardware engineers to ensure a practical, effective, and meaningful model framework.
• Presented findings at NCAR SIPARCS Seminar in August 2023.

Numerical Statistics Researcher

Tulane University Mathematics Department, New Orleans, Louisiana

• Researched fitting graphical models from data, specifically the graphical Lasso convex optimization method, and the likelihood of sufficient data points required to fit it.
• Spanned numerical estimation, convex optimization, graphical models, statistical inference, and algebraic geometry.

Station Engineer

WTUL 91.5 New Orleans, New Orleans, Louisiana

• Responsible for the hardware and software architecture of the station, including website management, hardware repairs, music archiving, troubleshooting, and sound system design.

Biomathematics Researcher

Georgia Institute of Technology, Atlanta, Georgia

• Participated in biomathematical modeling accelerator internship utilizing NetLogo and other agent-based simulation tools to design biological and ecological models in conjunction with teams from Northwestern, Brown, Clemson, Tulane, Georgia Tech, and University of Florida.
• Simulated gas-particle biochemical signaling diffusion from acacia trees and their impact on giraffe predation patterns.

• Goodnight Doctoral Fellowship

• Crest Student Leadership Medallion
• Tulane University Dean's List (8 semesters)
• Terry C Lawson Prize in Mathematics

• Eagle Scout, Boy Scouts of America