CV

Education

Publications

Using community-based problems to increase motivation in a data science virtual internship| 2022
15th International Conference on Educational Data Mining

Paranoid Posting: an analysis of being too online | 2022 | ACM SIGCAS Computers and Society

Learning Data Science with Blockly in JupyterLab | 2021 | ACM SIGCSE
Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

Wage Against the Machine: The Wealth and Power Inequality on the Automation of Labor | 2019 | IEEE Journal of Engineering & Public Policy

Work Experience

CodeCrew | Code School Instructor | 2024 – Present

• Designed and taught a 14-week Artificial Intelligence and Machine Learning curriculum for the Code School.
• Designed and taught an 8-week Public Health Data Science class in collaboration with the Shelby County Health Department and Center for Disease Control.

Shelby County Government | Systems Analyst I – Artificial Intelligence Lead
2023 – 2024

• Policy documentation for organizational usage of large language models (LLMs) and managing related projects through the entire MLOps lifecycle.
• Project Highlight: Injecting natural language text classification for service tickets in the Cherwell Service Management system.

Tech 901 | Teaching Assistant | 2023

• Assisted in teaching a class composed of SQL and Power BI training, with the aim for students to take the Microsoft Certified: Power BI Data Analyst Associate Certificate (PL-300).
• Assisted in teaching a web development class composed of JavaScript, CSS, and React.

The Coding School | Support Teaching Assistant | 2023

• Assisted in teaching two sections of AWS Machine Learning Bootcamps that followed JupyterLab walkthroughs for high school teachers.

IEEE-USA | Policy Associate | 2019

• Researched automation’s impact on wealth inequality and the importance of worker feedback and presented my findings in the US House of Representative’s Science, Space, and Technology Committee Room.
• Pressured Congress members on the importance of data integrity and artificial intelligence ethics.

Research Experience

DataWhys | Graduate Assistant | Dr. Andrew Olney | 2020-2022

This project will advance understanding of how data science is learned by weaving together statistics, programming, and machine learning and experimental results about student learning. It will use this understanding to create an innovative Artificial Intelligence-enabled data science tutor called DataWhys. The DataWhys tutor can be integrated into JupyterLab, an established professional data science tool, and will provide 250 hours of training content.

Monsters Invoke More Eeriness and Negative Emotional Responses than Human-Like Objects: Additions to the Uncanny Valley | Research Lead | Liam Fox & Brianna K. Muntz | 2020

The study examined the difference between levels of human-likeness, eeriness, and emotional response. We attempted to diminish the depth of the uncanny valley by altering species (human-like object or monster) and skin tone (natural or artificial).

Influences of Schizoanalysis on Artificial Intelligence | 2018

An argument for how the biases in artificial intelligence can occur through a post-structuralist take on societal interactions. Using Gilles Deleuze and Felix Guattari’s theory of schizoanalysis, a deduction of society’s desiring-productions can be mapped into metamodels that function similarly to deep learning neural networks.

Projects

Mood-E : A Music Recommendation App to Change Your Mood | 2022

OpenViBE Biofeedback Brain-Computer Interface | 2020

IBM TJ Bot | NoBox – Founder | 2016-2018

Event Planning

IEEE Student-Professional Awareness Conference 2019: Community Engagement | Host
Christian Brothers University

IEEE Southeast Con 2019 | Student Activities Committee Member
Huntsville, AL

IEEE Student-Professional Awareness Conference 2018: Entrepreneurship & Diversity in Technology | Host
Christian Brothers University

IEEE Southeast Con 2018 | Student Activities Committee Member
St. Petersburg, FL

Buc E-Day 2018 | Host
Christian Brothers University

Publication Reviewer

Conferences
15th International Conference on Educational Data Mining, 2022
23rd International Conference on Artificial Intelligence in Education, 2022
35th AAAI Conference on Artificial Intelligence, 2021
21st International Conference on Artificial Intelligence in Education, 2020

Journals
Journal of Educational Data Mining, 2020

Skills

Languages
Python, R, SQL, MATLAB, Java, JavaScript, React, CSS, HTML, C#, .NET

Applications
Git, Linux, JupyterLab, SPSS, Figma, Microsoft Office Suite, OpenViBE, Abelton, Adobe Photoshop, WordPress

Relevant Coursework

Graduate
Artificial Intelligence, Introduction to Neurocomputing, Fundamentals of Data Science, Foundations of Software Engineering, Natural Language Processing, Human-Computer Interaction, Algorithms, Introduction to Machine Learning, Operating and Distributed Systems, Foundations of Computing, Ethics of Artificial Intelligence

Undergraduate
Electrical Engineering:
Capstone Research (Brain-Computer Interfaces), Systems/Signals & Noise, Multimedia Digital-Signal Processing, Digital Design, Electric Circuit Analysis, Microprocessor Interface & Programming

Cognitive Neuroscience:
Experimental Research Methods and Statistics, Correlational Research Methods and Statistics, Cognitive Science Seminar, Psychophysiology, Sensation & Perception, Biological Psychology, Cognitive Psychology

Mathematics:
Calculus I, II & III, Differential Equations, Statistics, Probability, Discrete Mathematics

Computer Science:
Algorithms, Data Structures, Database Systems Design, Fundamentals of Computer Science (Java), Computer Problem Solving (Python)