Parra Yohn

Yohn J Parra-Bautista

ASSISTANT PROFESSOR
EMAIL
PHONE
713-296-0081
OFFICE
Computer & Information Systems

Office Hours

Commons, G142

Monday/Wednesday • 2:00 p.m. - 4:00 p.m.
Friday • By Appointment or Online (via Zoom)

Current Semester Schedule

CIS 4250E-501 Computer Ethics • Online.
COP 2034-310 Introduction to Programming Using Python • Tu. Th. — 11:00 a.m. - 12:15 p.m.
COP 3703-310 Introduction to Databases • Tu. Th. — 05:00 p.m. - 07:00 p.m.
COT 2104-302 Mathematics for Computing • Tu. Th. — 09:30 a.m. - 10:45 a.m.

About Me

Dr. Parra Bautista specializes in the intersection of machine learning, natural language processing, and text mining, exploring applications in healthcare, ethics, AI in society, and behavior data. His recent projects include work on generative AI and large language models, ethical frameworks for AI, and health disparities.
In his teaching, he develops and delivers courses in Python, Data Mining, Ethics, Databases, C++, and other programming and data science-oriented subjects. He is also involved in curriculum design, helping establish both undergraduate and graduate programs in data science at FAMU.
Dr. Parra Bautista is committed to expanding access to computing and data science for underrepresented groups. He works across HBCUs, leads REU programs, and collaborates internationally, including organizing summer abroad courses. He has served as a Microsoft Visiting Data Science Educator, gaining industry perspective on Responsible AI and differential privacy.

Areas of Interest

  • Programming
  • Cyberinfrastructure tools
  • Literature
  • Lifting weights
  • Movies

Education

 
  • Ph.D. in Computational Data Science and Engineering • 2019
    Jackson State University

Work History

  • Assistant Professor • 2023 - Present
    Florida A&M University (FAMU), Tallahassee, FL
  • Visiting Assistant Professor • 2020 - 2022
    Florida A&M University (FAMU), Tallahassee, FL
  • Instructor • 2019 - 2020

Academic Accomplishments

  • Ethical considerations of generative AI: A survey exploring the role of decision makers in the loop
    Proceedings of the AAAI Symposium Series 3
    This study explores the foresighted concerns that Norbert Wiener voiced in 1960 about the potential of machines to learn and create strategies that could not be anticipated, drawing parallels to the fable" The Sorcerer's Apprentice" by Goethe.
  • Health disparities through generative AI models: a comparison study using a Domain specific large Language Model
    Proceedings of the Future Technologies Conference
    We used cosine similarity to analyze text queries about health disparities in exam rooms when factors such as race are used alone. Using text queries, SciBERT fails when it doesn't differentiate between queries text: "race" alone and "perpetuates health disparities."
  • Marital status of never married with rey auditory verbal learning test cognition performance is associated with mild cognitive impairment
    MDPI Applied Sciences
    We included participants with MCI and normal cognition in our study. Based on our logistic regression model, four RAVLT subgroups are associated with MCI (low and high response performance, immediate response with learning, immediate response with learning and forgetting, immediate response with learning, forgetting, and perception of forgetting)
  • Time Series Analysis of Cryptocurrency Prices Using Long Short-Term Memory
    Algorithms MDPI
    We apply a long short-term memory model to learn the patterns within cryptocurrency close prices and to predict future prices. The proposed model learns from the close values. The performance of this model is evaluated using the root-mean-squared error and by comparing it to an ARIMA model.

Awards

  • Award: Hanover Writing Academy 2023-Professional development in writing grants to external agencies.
  • Workshop: NSF San Diego Supercomputer Center Summer Institute, August 5 to August 9, 2019.
  • Workshop: NSF Cyber Carpentry: Data Life-Cycle Training with DataNet Federation Consortium, July 15 to July 26, University of North Carolina at Chapel Hil
  • Summit: Association of Computing Machinery-Institute of Mathematical StatisticsInterdisciplinary Summit on the Foundations of Data Science, June 2019, San Francisco, CA
  • Award: NSF INCLUDES ASSIST Grant through Great Minds, in STEM, October 6-9, 2018Early-Career Faculty Symposium
  • Award: Texas Advanced Computational Center Summer Supercomputing Institute: High-Performance Computing Training, Austin, Texas, August 1-5, 2016.
  • Microsoft Visiting Data Science Educator Grant, May 3 – May 28, 2021.

Courses Taught At FAMU

  • CAP4620_301_2263 Artificial Intelligence
  • CAP3770_301_2263 Introduction to Data Mining

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