About Me

My name is Will Burgis, and I am a senior at the University of Notre Dame. I am currently pursuing a major in Computer Science and a minor in Engineering Corporate Practice. I have strong interests in software engineering and data science, and am passionate about using my knowledge of Computer Science as a force for good in the world.

Relevant Technical Skills

I am constantly learning and enjoy developing new skills. Here are some of the skills that I use frequently:

  • Python
  • Data Science/Machine Learning
  • C/C++
  • Github/Gitlab
  • HTML/CSS/JavaScript
  • Bash/Unix
  • Linux
  • Microsoft Office


Deep Ensembles for Graphs with Higher-order Dependencies

During my year and a half of undergraduate research at Notre Dame, I have worked closely with Steven Krieg in researching Graph Neural Networks (GNNs) and the roles that higher-order dependencies play within them. I contributed to the creation of the GrowHON and HONGNN models and determined their effectiveness on various datasets. This work resulted in our publication of "Deep Ensembles for Graphs with Higher-order Dependencies," which I am a Co-Author of. Click HERE to read the paper!

iTREDS Research

At the University of Notre Dame, I was fortunate to be selected as an iTREDS Scholar. In this program, I have had the opportunity to take classes and conduct research to ultimately further my development in intertwining ethics and social responsibility with delivering data-driven, impactful solutions to real world problems. To bring these goals to fruition, my team and I will be restructuring the Political Data Yearbook (PDYi) to comply with FAIR (Findability, Accessibility, Interoperability, and Reusability) standards and embrace principles of linked, open data for our Senior Capstone Project. To learn more about the PDYi, click HERE, and to learn more about the iTREDS Program, click HERE!

Predicting U.S. County Vaccination Rates with Classifiers

Over the past 2+ years, the COVID-19 pandemic has consumed our lives, media sources, and more. It has presented American society with a public health crisis that has not been seen in generations. As a result, my team and I developed this project using classifiers to classify United States county vaccination rates as above or below average in an attempt to empower those fighting the COVID-19 pandemic with the knowledge to combat vaccine hesitancy at the county level. We employed Random Forest, Neural Network, Naïve Bayes, CART, Decision Tree, SVM, and KNN classification methods with 5-fold cross-validation to predict the vaccination rates of these counties. Ultimately, we determined Random Forest to be the most optimal classifier, and our project was voted the best out of all 18 submissions. To read paper and learn more, click HERE!

AWS Preternship Project

In this project, my team and I created a program that could act as a sentiment calculator in order to determine how a particular company is trending on Twitter. We used Tweepy to interact with the Twitter API and scrape Tweet content, interfaced the program with AWS Comprehend, and created a Python algorithm to determine the company's overall trending sentiment. Throughout the course of the project, we identified critical dependencies and design considerations, delivered weekly code reviews and professional memorandums detailing project progress, assessed risks and alternatives, and determined new project objectives based on those assessments.

DICK'S Sporting Goods Strategic Advisory Project

For this project, my team and I conducted M&A, LBO, and equity analyses of Dick's Sporting Goods (NYSE: DKS), after which we proposed that Dick’s should acquire two private companies, Custom Ink ($872M) and Hudl ($415M), to expand their online presence and customization segment and further their involvement within the youth sports industry. In order to generate a comprehensive projection of Dick's future revenues, I created a C program to project 5 years of revenues for Dick’s Sporting Goods (NYSE: DKS) using linear regression of a series of analyst reports. We ultimately valued Dick’s at an implied share price of $54.76 and an enterprise value of $5.63B.


This project involved the use of functional programming and data processing in Python in order to simulate a brute-force attack on a large collection of passwords. Several fields can be taken as inputs from the user, including the characters in the "alphabet" to be used, the number of CPU cores, the length of each permutation, any prefixes to the permutations, and a file path that the hashes could be stored in.

This Website

I created this website using HTML, CSS, and Javascript. As a starting point, I used the HTML5 Up Strata template, which can be found here.

Contact Me

For work-related inquiries, feel free to contact me using the message board below!

  • Address

    University of Notre Dame
    Notre Dame, IN 46556
    United States
  • Resume

  • Email