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Clayton T Morrison

  • Associate Professor
  • Associate Professor, Statistics-GIDP
  • Associate Professor, Cognitive Science - GIDP
  • Member of the Graduate Faculty
Contact
  • claytonm@arizona.edu
  • Bio
  • Interests
  • Courses
  • Scholarly Contributions

Degrees

  • M.S. Computer Science
    • University of Massachusetts, Amherst, Massachusetts, United States
  • Ph.D. Philosophy
    • Binghamton University, Binghamton, New York, United States
    • Situated Representation
  • M.A. Philosophy
    • Binghamton University, Binghamton, New York, United States
  • B.A. Cognitive Science
    • Occidental College, Los Angeles, California, United States

Work Experience

  • University of Arizona, Tucson, Arizona (2014 - Ongoing)
  • University of Arizona, Tucson, Arizona (2011 - 2014)
  • SISTA, University of Arizona (2011 - 2013)
  • Computer Science and SISTA, University of Arizona (2008 - 2011)
  • USC Information Sciences Institute (2006 - 2008)
  • USC Information Sciences Institute (2003 - 2006)
  • Computer Science, University of Massachusetts (2001 - 2003)
  • Computer Science, University of Massachusetts (1999 - 2001)

Awards

  • Excellence in Postdoctoral Mentoring Award
    • University of Arizona Postdoctoral Affairs, Fall 2025

Related Links

Share ProfilePersonal Website

Interests

Research

Machine Learning, Causal Inference, Artificial Intelligence, Automated Planning, Knowledge Representation, Cognitive Science

Courses

2026-27 Courses

  • Machine Learning
    INFO 521 (Fall 2026)

2025-26 Courses

  • Dissertation
    INFO 920 (Spring 2026)
  • Neural Networks
    INFO 557 (Spring 2026)
  • Neural Networks
    ISTA 457 (Spring 2026)
  • Dissertation
    INFO 920 (Fall 2025)
  • Intro to Machine Learning
    INFO 521 (Fall 2025)

2024-25 Courses

  • Directed Research
    INFO 692 (Spring 2025)
  • Dissertation
    INFO 920 (Spring 2025)
  • Neural Networks
    INFO 557 (Spring 2025)
  • Neural Networks
    ISTA 457 (Spring 2025)
  • Directed Research
    INFO 692 (Fall 2024)
  • Dissertation
    INFO 920 (Fall 2024)
  • Neural Networks
    INFO 557 (Fall 2024)
  • Neural Networks
    ISTA 457 (Fall 2024)

2023-24 Courses

  • Dissertation
    CSC 920 (Spring 2024)
  • Dissertation
    INFO 920 (Spring 2024)
  • Independent Study
    INFO 699 (Spring 2024)
  • Dissertation
    CSC 920 (Fall 2023)
  • Intro to Machine Learning
    INFO 521 (Fall 2023)
  • Intro to Machine Learning
    ISTA 421 (Fall 2023)

2022-23 Courses

  • Dissertation
    CSC 920 (Spring 2023)
  • Dissertation
    INFO 920 (Spring 2023)
  • Directed Research
    INFO 692 (Fall 2022)
  • Dissertation
    CSC 920 (Fall 2022)
  • Dissertation
    INFO 920 (Fall 2022)

2021-22 Courses

  • Directed Research
    INFO 692 (Summer I 2022)
  • Artificial Intelligence
    INFO 550 (Spring 2022)
  • Artificial Intelligence
    ISTA 450 (Spring 2022)
  • Research
    CSC 900 (Spring 2022)
  • Research
    STAT 900 (Spring 2022)
  • Thesis
    STAT 910 (Spring 2022)
  • Directed Research
    INFO 692 (Fall 2021)
  • Independent Study
    CSC 699 (Fall 2021)
  • Intro to Machine Learning
    INFO 521 (Fall 2021)
  • Intro to Machine Learning
    ISTA 421 (Fall 2021)
  • Thesis
    STAT 910 (Fall 2021)

2020-21 Courses

  • Independent Study
    STAT 599 (Spring 2021)
  • Research
    CSC 900 (Spring 2021)
  • Thesis
    STAT 910 (Spring 2021)
  • Directed Research
    INFO 492 (Fall 2020)
  • Directed Research
    INFO 692 (Fall 2020)
  • Dissertation
    INFO 920 (Fall 2020)
  • Independent Study
    INFO 699 (Fall 2020)
  • Independent Study
    STAT 599 (Fall 2020)
  • Thesis
    STAT 910 (Fall 2020)

2019-20 Courses

  • Artificial Intelligence
    INFO 550 (Spring 2020)
  • Artificial Intelligence
    ISTA 450 (Spring 2020)
  • Capstone
    INFO 698 (Spring 2020)
  • Dissertation
    INFO 920 (Spring 2020)
  • Dissertation
    INFO 920 (Fall 2019)
  • Independent Study
    CSC 599 (Fall 2019)
  • Independent Study
    INFO 699 (Fall 2019)
  • Independent Study
    MATH 599 (Fall 2019)
  • Intro to Machine Learning
    INFO 521 (Fall 2019)
  • Intro to Machine Learning
    ISTA 421 (Fall 2019)
  • Research
    INFO 900 (Fall 2019)

2018-19 Courses

  • Directed Research
    INFO 492 (Spring 2019)
  • Dissertation
    INFO 920 (Spring 2019)
  • Independent Study
    STAT 599 (Spring 2019)
  • Dissertation
    INFO 920 (Fall 2018)
  • Independent Study
    INFO 699 (Fall 2018)
  • Intro to Machine Learning
    INFO 521 (Fall 2018)
  • Intro to Machine Learning
    ISTA 421 (Fall 2018)

2017-18 Courses

  • Capstone
    INFO 698 (Summer I 2018)
  • Directed Research
    INFO 492 (Summer I 2018)
  • Artificial Intelligence
    INFO 550 (Spring 2018)
  • Artificial Intelligence
    ISTA 450 (Spring 2018)
  • Directed Research
    INFO 692 (Spring 2018)
  • Dissertation
    INFO 920 (Spring 2018)
  • Independent Study
    INFO 499 (Spring 2018)
  • Directed Research
    INFO 692 (Fall 2017)
  • Dissertation
    LIS 920 (Fall 2017)
  • Intro to Machine Learning
    INFO 521 (Fall 2017)
  • Intro to Machine Learning
    ISTA 421 (Fall 2017)

2016-17 Courses

  • Artificial Intelligence
    INFO 550 (Spring 2017)
  • Artificial Intelligence
    ISTA 450 (Spring 2017)
  • Research
    STAT 900 (Spring 2017)
  • Dissertation
    STAT 920 (Fall 2016)
  • Honors Independent Study
    ISTA 399H (Fall 2016)
  • Independent Study
    ISTA 599 (Fall 2016)
  • Independent Study
    LIS 699 (Fall 2016)
  • Intro to Machine Learning
    INFO 521 (Fall 2016)
  • Intro to Machine Learning
    ISTA 421 (Fall 2016)

2015-16 Courses

  • Honors Thesis
    ISTA 498H (Summer I 2016)
  • Independent Study
    ISTA 499 (Summer I 2016)
  • Bayesian Modeling & Inference
    INFO 510 (Spring 2016)
  • Bayesian Modeling & Inference
    ISTA 410 (Spring 2016)
  • Directed Research
    ISTA 392 (Spring 2016)
  • Honors Thesis
    ISTA 498H (Spring 2016)
  • Internship
    ISTA 493 (Spring 2016)
  • Research
    LIS 900 (Spring 2016)

Related Links

UA Course Catalog

Scholarly Contributions

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