Emma Hayes

About

My name is Emma Hayes. I am a current Mathemtics PhD student at the University of Wisconsin-Madison. I completed my undergraduate studies at Carnegie Mellon University. My mathematical interests lie in applied math in general but specifically differential equations, and I love to incorporate computer science or machine learning in any projects I do.
I love being able to explore the relationships between math and computer science and work with real life problems and examples. Outside of math I like to bake, hike, and make art.

Contact:

ehayes7@wisc.edu

Research/Projects

Research project collaborating with 3 other colleagues sponsored by AMD to implement physics informed machine learning models. I was also selected as Project Manager for this project.
- Selected among 35 other students from 3000+ applicants to work on NSF funded research projects.
- Presented results to AMD research team and to audiences from NSF and IPAM. Presenting at JMM 24 and NCUWM.
- Utilizing PyTorch as well as AMD's HPC systems to create our models and perform parallel computing tasks.
Final Report NCUWM Poster JMM Pres

Emory REU/RET Computational Mathematics for Data Science, Learning Ordinary Differential Equations through the use of Hamiltonian Inspired Neural Networks., w/ Dr. Deepanshu Verma, Carolyn Vanty, and Mathias Heider
GitHub Poster REU Website

15-112 Fundamentals of Programming Term Project: Designed an interactive coloring app where the user can create drawings or paint premade coloring pages Implemented in Python with Pillow (PIL) using modules to produce different features and pages, and created an intuitive user interface
Video

Work Experience

Graduate Teaching Assistant (UW) -- Math 213: Calculus 2

Teaching Assistant 15-210, Parallel and Sequential Data Structures and Algorithms (CMU)

Mathematics Grader 21-127, Concepts of Mathematics (CMU)

Coursework

Current Coursework [Graduate]

Methods of Computational Mathematics I
Methods of Applied Mathematics I

Undergraduate Coursework

Multivariate Calculus
Ordinary Differential Equations
Linear Algebra
Real Analysis
Abstract Algebra
Discrete Mathematics
Intro To Mathematical Finance
Mathematical Concepts and Proofs
Numerical Methods
Probability Theory
Operations Research
Numerical Linear Algebra
Computational Introduction to Partial Differential Equations
Operations Research II
Linear Algebra

Principles of Imperative Programming (C)
Principles of Functional Programming (SML)
Introduction to Computer Systems (C)
Parallel and Sequential Data Structures and Algorithms
Introduction to Machine Learning
Modern Computer Algebra (Symbolic Computation)
Logic and Mechanized Reasoning

Undergraduate Extracurriculars

CMU Math Club Vice President Internal (former Treasurer)
Website
Thrifty Mellon Co-founder and Finance Head
Instagram