Jillian Johnson

Human-Computer Interactionist | Graduate Student – University of Memphis

About Me

The will will always be corrupted by the memes in which it traffics, but nothing prevents us from instrumentalizing this fact, and calibrating it in view of the ends it desires.”Laboria Cuboniks, XF: A Politics for Alienation

Jillian Johnson is a Graduate Student and Assistant at the University of Memphis in Memphis, Tennessee. She is inspired by artificial intelligence, collective intelligence, human-computer interaction, virtual reality, and post-structuralism.

Jillian has served in both Student and Regional positions for the Institute of Electrical and Electronics Engineers (IEEE). Additionally, she served positions for Theta Tau ΩΔ and Christian Brothers University’s Gay-Straight Alliance.


Graduate Student | Institute of Intelligent Systems

DataWhys Assistant

Advisor: Dr. Andrew Olney

B.S. | Interdisciplinary Studies of Electrical Engineering & Cognitive Neuroscience

Mathematics Minor

May 2020

Advisors: Dr. Eric Welch, Dr. Jeffery Sable, Dr. Serge Salan, and Dr. Tracy Burke

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.


OpenViBE Biofeedback Brain-Computer Interface | 2020

IBM TJ Bot | NoBox – Founder | 2016-2018


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


Python, Java, R, SQL, MATLAB

Git, Linux, JupyterLab, PyCharm, OpenViBE, SPSS, SPICE Electronics, Microsoft Office Suite, Abelton, Adobe Photoshop, WordPress

Relevant Coursework

Artificial Intelligence, Introduction to Neurocomputing, Fundamentals of Data Science

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

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)