CV

Education

Research Experience

DataWhys | Graduate Assistant | Dr. Andrew Olney | 2020

This project is implementing a tutoring system across various proficiency levels to gain a more comprehensive understanding of how people learn data science.

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

OpenViBE Biofeedback Brain-Computer Interface | 2020

IBM TJ Bot | NoBox – Founder | 2016-2018

Publications

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

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

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, Java, R, SQL, MATLAB

Applications
Git, Linux, JupyterLab, PyCharm, OpenViBE, SPSS, SPICE Electronics, Microsoft Office Suite, 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)