Match tier Confirmed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-09

Mark T. Baillie

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI

Assistant Professor

Also affiliated: National Institutes of Health (2007); Emory University (2010–2016); University of Washington (2000–2007); University of Arkansas System (2023)

7 h-index 14 pubs 163 cited

  • Humans
  • Research Design
  • Animals
  • Treatment Outcome
  • Copepoda
  • Data Analysis
  • Data Interpretation, Statistical
  • Models, Statistical
  • Fish Diseases
  • Fisheries
  • Workflow
  • Salmo salar
  • Population Density
  • Linear Models
  • Software

Biography and Research Information

OverviewAI-generated summary

Mark T. Baillie's research has focused on the efficacy of treatments for parasitic infestations in farmed fish and has explored various aspects of data analysis and information retrieval. He has investigated the effectiveness of emamectin benzoate against sea lice infestations on Atlantic salmon in Scotland, examining factors that influence treatment efficacy over time. His work in this area has contributed to understanding disease management in aquaculture.

Beyond his work in aquatic animal health, Baillie has explored computational topics, including personalization based on query logs and methods for retrieving information from email archives. He has also contributed to statistical software development with the creation of the R package 'ggsurvfit' for visualizing time-to-event data. His scholarship metrics include an h-index of 7, with 14 total publications and 162 citations. Baillie has served as PI on a significant National Science Foundation grant totaling nearly $2 million, focused on institutional and community transformation in STEM education, specifically supporting active learning reforms.

Metrics

  • h-index: 7
  • Publications: 14
  • Citations: 163

Positions

  • Assistant Professor 2018–present
    University of Arkansas at Little Rock Chemistry ORCID

Selected Publications

  • The role of instructional policies and instructors’ demographics on students' perceptions of instructor universality beliefs in STEM (2026)
    Discover Education DOI OpenAlex
  • The Role of Instructional Policies and Instructors’ Demographics on Students' Perceptions of Instructor Universality Beliefs in STEM (2026)
    Research Square DOI OpenAlex
  • Student-centered instructional policies are associated with more positive student perceptions of their instructor's universality beliefs, but these perceptions favor White instructors in STEM (2025)
    Research Square DOI OpenAlex
  • A more positive mindset context is associated with better student outcomes in STEM, particularly for traditional-age students (2025)
    International Journal of STEM Education 9 citations DOI OpenAlex
  • Students Who Perceive Instructors to Have a Fixed Mindset Report a Greater Sense of Academic Misfit That Leads to Lower Chemistry Grades (2024)
    Journal of Chemical Education 10 citations DOI OpenAlex
  • Addressing a University Department Challenge: Applying the CTeAM Key Question Matrix (2023)
    AESS interdisciplinary environmental studies and sciences series 1 citation DOI OpenAlex
  • Active Learning Monitoring in Classroom Using Deep Learning Frameworks (2023)
    Lecture notes in computer science 5 citations DOI OpenAlex
  • Perceived Barriers to Equitable Participation in the Learning Assistant Program (2023)
    Journal of Chemical Education 2 citations DOI OpenAlex
  • Deep Learning Approaches for Classroom Audio Classification Using Mel Spectrograms (2022)
    Smart innovation, systems and technologies 2 citations DOI OpenAlex

View all publications on OpenAlex →

Federal Grants 1 $1,999,986 total

Collaboration Network

11 Collaborators 7 Institutions 2 Countries

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