Joe Shymanski
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Joe Shymanski Email & Phone Number

TU Cyber Fellow at The University of Tulsa
Location: Moscow Mills, Missouri, United States 12 work roles 4 schools
1 work email found @utulsa.edu LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

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Work email j****@utulsa.edu
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Current company
Role
TU Cyber Fellow
Location
Moscow Mills, Missouri, United States

Who is Joe Shymanski? Overview

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Quick answer

Joe Shymanski is listed as TU Cyber Fellow at The University of Tulsa, based in Moscow Mills, Missouri, United States. AeroLeads shows a work email signal at utulsa.edu and a matched LinkedIn profile for Joe Shymanski.

Joe Shymanski previously worked as Lead Artificial Intelligence Researcher at The University Of Tulsa and Machine Learning and Data Engineer at Hometree Data, Inc.. Joe Shymanski holds Doctor Of Philosophy - Phd, Computer Science, 4.0 from The University Of Tulsa.

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Email format at The University of Tulsa

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{first}@utulsa.edu
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Profile bio

About Joe Shymanski

I am a graduate student at the University of Tulsa (TU) pursuing a Ph.D. in Computer Science with a focus in Artificial Intelligence. I graduated with a Bachelor of Science in Computer Science and Mathematics from TU with minors in Data Science and Economics. When away from school, I live in the greater St. Louis area in Missouri. My interests include software development, data analysis, and artificial intelligence research. I have worked with many tools and languages over the last eight years, both at school and in the workplace. I have had a handful of jobs and internships in that time as well as several research endeavors, all relating to my interests mentioned above. I am adaptable, work well in teams and individually, and bring a well-rounded perspective to any project.

Current workplace

Joe Shymanski's current company

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The University of Tulsa
The University Of Tulsa
TU Cyber Fellow
Moscow Mills, MO, US
AeroLeads page
12 roles

Joe Shymanski work experience

A career timeline built from the work history available for this profile.

Tu Cyber Fellow

Current

Tulsa, Oklahoma, United States

I am researching evaluation techniques for Explainable Artificial Intelligence (XAI) models and methods to utilize Large Language Models for XAI tasks. I have published research papers and will continue to produce quality research for publication.

Aug 2022 - Present

Lead Artificial Intelligence Researcher

Tulsa, Oklahoma, United States

The first three weeks of this research position were spent working on a small team to create an agent for the ANAC Automated Negotiation League. This agent ended up placing 2nd in the international competition and our team won a cash prize. The remaining portion of the research experience was focused on becoming familiar with natural language processing in order to categorize the sentiment of reviews obtained from a Ph.D. student at TU. We also discussed explainable AI techniques and built a working module using existing frameworks in Python.

May 2022 - Aug 2022

Machine Learning And Data Engineer

San Francisco Bay Area

As a Machine Learning and Data Engineer at Hometree Data, I cleaned billions of text-based stories to detect data poisoning, AI content, and spam. Additionally, I spearheaded the development of the Hometree Data API, featuring 3 search endpoints with complete Auth0 integration, to enhance user accessibility and security.

May 2024 - Aug 2024

Systems Science Researcher

Tulsa, Oklahoma, United States

I worked with a large group of TU students and faculty on the Knowledge Core team. We created the engine through which physical sensor data would be processed to create security alerts, deploy a Boston Dynamics robotic dog, and visualize events in rooms using virtual reality.

May 2023 - Aug 2023

Network Data Analyst

St Louis, Missouri, United States

I worked on a solo project which fully automated the monthly process of screening the entities and individuals in the Express Scripts network against three government exclusion lists. I also created tools to automate internal SQL queries and R scripts according to recurring schedules. Alongside these major projects, I created several additional scripts which helped automate various different tasks, such as detecting key discrepancies between two databases or cleaning up large lists of emails to ensure all are valid and will send via Microsoft Outlook. Some of the technologies I worked with included R, R Markdown, Teradata, PostgreSQL, ODBC, and Microsoft Excel.

May 2021 - May 2022

Teacher Assistant

Tulsa, Oklahoma, United States

I assisted Dr. Dale Schoenefeld in setting up instances of JupyterHub and autograding software for his data science courses in the fall and spring semesters. The fall course integrated materials from UC Berkeley's Data 8 course. I also graded homework for his courses in both the fall and the spring. Some of the languages and technologies I worked with were Python, R, Jupyter, ok.py, Linux, Kubernetes, and Google Cloud.

Jun 2020 - May 2021

Data Science Researcher

Tulsa, Oklahoma, United States

I researched the ROC curves generated by several different classifiers and the ability to generate and label the thresholds associated with every (FPR, TPR) ordered pair on each curve. Some of the languages and tools I worked with were R, Python, RStudio, Anaconda, and Jupyter Notebooks.

May 2020 - Jul 2020

Technology Intern

Hlk

St. Louis

I worked as a developer on a team tasked with building and maintaining a number of Marriott Hotels websites. I programmed primarily in HTML, CSS, JavaScript, and PHP. Some of the tools I worked with were WordPress, WP Engine, Stencil, Docker, Git, Bitbucket, and Jira. The team used Agile Workflow for completing tasks and handling releases in conjunction with Gitflow Workflow for appropriate versioning and branching practices.

May 2019 - Aug 2019

Wordpress Developer

Greater St. Louis Area

I completely redesigned this Wordpress website which had not been touched in at least five years.

May 2018 - Aug 2018

Web Application Developer

Brain Wellness Alliance

Greater St. Louis Area

I worked as the only developer for this web application for six months. I built and completed many of its features before and after its official launch. It was built in Democracy, a framework mainly based in PHP and JavaScript.

Jun 2017 - Nov 2017

Web Application Developer

Elemodo Software

Greater St. Louis Area

I worked as the only developer on a team of four interns tasked with creating a scoreboard-like web application intended to increase productivity in work and school environments. It was built using Democracy, a framework mainly based in PHP and JavaScript.

May 2016 - Aug 2016
4 education records

Joe Shymanski education

Master Of Science - Ms, Computer Science, 4.0

Activities and Societies: MultiAgent System Research (MASTERS), TU Cyber Fellowship

Bachelor Of Science - Bs, Mathematics And Computer Science, 4.0

Activities and Societies: Order of Omega Greek Honor Society, Tau Beta Pi Engineering Honor Society, Lambda Chi Alpha, Phi Eta Sigma.

FAQ

Frequently asked questions about Joe Shymanski

Quick answers generated from the profile data available on this page.

What company does Joe Shymanski work for?

Joe Shymanski works for The University of Tulsa.

What is Joe Shymanski's role at The University of Tulsa?

Joe Shymanski is listed as TU Cyber Fellow at The University of Tulsa.

What is Joe Shymanski's email address?

AeroLeads has found 1 work email signal at @utulsa.edu for Joe Shymanski at The University of Tulsa.

Where is Joe Shymanski based?

Joe Shymanski is based in Moscow Mills, Missouri, United States while working with The University of Tulsa.

What companies has Joe Shymanski worked for?

Joe Shymanski has worked for The University Of Tulsa, Hometree Data, Inc., U.S. Army Corps Of Engineers, Tulsa District, Cigna, and Hlk.

How can I contact Joe Shymanski?

You can use AeroLeads to view verified contact signals for Joe Shymanski at The University of Tulsa, including work email, phone, and LinkedIn data when available.

What schools did Joe Shymanski attend?

Joe Shymanski holds Doctor Of Philosophy - Phd, Computer Science, 4.0 from The University Of Tulsa.

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