Hong Qin, Ph.D. School of Data Science & Department of Computer Science, Old Dominion University

Teaching

Old Dominion University (Fall 2024 – present)

  • CS/DASC 882 — Generative AI (Fall 2025).
  • CS/DASC 881 — AI for Health Science (Spring 2025, Spring 2026).
  • CS 361 — Data Structures and Algorithms (Fall 2024).

University of Tennessee at Chattanooga (Fall 2016 – Summer 2024)

Major teaching assignments: CPSC 5440 Advanced Topics in AI; CPSC 5240 Principles of Data Analytics; CPSC 5180 Programming Languages for Advanced Data Analytics; CPSC 5910R Quantum Computing; CPSC 2100 Software Design and Development; CPSC 4240 Principles of Data Analytics; CPSC 4180 Programming Languages for Advanced Data Analytics.

Other teaching assignments: CPSC 5210 Design and Analysis of Computer Algorithms; CPSC 4910 Capstone Project; CPSC 4900 Software Engineering; CPSC 2800 Operating Systems; CPSC 5900 Projects/MS Project; BIOL 4999R/BIOL 5010 Data Science for Biologists; CPSC 4999R/CPSC 5910R Introduction to Computational Genomics; CPSC 1100 Fundamentals of Computer Science; BIOL 3250 Genetics; BIOL 1110L Introduction to Biology Laboratory.

Spelman College (Fall 2009 – Spring 2016)

  • BIO 125 — Molecular Biology & Genomics (2013–2016).
  • BIO 233 — Microbiology with laboratory (2009–2011, Spring & Fall 2014, Fall 2015).
  • BIO 386 / BIO 320 — Genomics, Proteomics and Bioinformatics (2010–2015).
  • BIO 487 — Undergraduate Research (nearly every semester, 2009–2016).
  • First-Year Experience (2011–2016).
  • CIS 115 — Introduction to Informatics & Computing (Fall 2012, Spring 2013).
  • BIO 380 — Critical Thinking in Biology (Spring 2013).
  • BIO 491i — Applied Bioinformatics (Spring 2010).

Tuskegee University (Spring 2007 – Spring 2009)

  • BIOL 0368 — Introduction to Bioinformatics (Fall 2007, 2008).
  • BIOL 0595 — Computing in Life Sciences (Spring 2008, 2009).
  • BIOL 202 — Mathematics, Computers, and Biosciences (co-instructor, Fall 2007, 2008).

YouTube Educational Channel

youtube.com/c/hongqin — ~353 videos, ~1,530 subscribers, >700,000 views, covering computational biology, data science, R and Python, and AI for the life sciences.

Workshops and Bootcamps Organized

  • Workshop Co-Chair, AAAI Annual Conference 2026.
  • Program Chair, AAAI Fall Symposium on Machine Intelligence for Equitable Global Health (2024, 2025).
  • High-School Trustworthy AI Online Bootcamp (Fall 2023).
  • ChatGPT-Assisted Python Coding Bootcamp (May 2023).
  • High-School Data Science Bootcamp (Jun 2022).
  • Online Teacher Data Science Bootcamp (Jun 2022).
  • Online Symposium “Using Data Science for Student Research Training and Education” (Jun 2022).
  • Python and R Coding Bootcamps (2021–2022).
  • NEON Coding Bootcamp (May 2020).
  • R Coding Bootcamp and Electronic Health Records Analysis Bootcamp (Jul–Aug 2019).
  • BIOKDD 2020 — 19th International Workshop on Data Mining in Bioinformatics, KDD 2020.
  • Atlanta QBIO Workshop — A Vehicle for Broadening Participation (Mar 2016).
  • Finding Your Inner Modeler (NSF-sponsored, 2017–2018).