Research & Teaching
Current Courses
University of Arizona · iSchool
Data Analysis & Visualization
Covers principles of graphic design, programming, and statistical knowledge required to build visualizations that communicate effectively. Students produce publication-ready figures in R and Python.
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Data Mining & Discovery
Introduces data mining concepts from statistics, machine learning, and AI for knowledge discovery from large datasets. Emphasizes hands-on reproducible workflows and real-world applications.
View Course →Research Interests
My research sits at the intersection of reproducible data science, health informatics, and data science education. I'm interested in how communities — whether research groups or neighborhoods — interact with data systems and how technology can be designed to serve the people most affected by its conclusions. This includes questions about AI evaluation, uncertainty communication, and the social infrastructure that makes evidence-based decisions possible.
Selected Publications
2026
Zenodo
An AI research sandbox funded through the National AI Research Resource (NAIRR) pilot program, providing infrastructure and tools for exploring applied AI in research and educational contexts.
Zenodo
A structured framework for integrating AI tools into healthcare workflows, developed using Jetstream2 research computing infrastructure to address practical deployment challenges in clinical settings.
Journal of Affective Disorders
Examines whether somatic symptoms systematically bias PHQ-8 depression screening in individuals with chronic pain. Tests measurement equivalence and reliability across groups, with implications for screening validity in pain populations.
2024
PLOS Computational Biology
Documents CyVerse, an NSF-funded cyberinfrastructure platform for open science providing data storage, cloud services, and computational tools to support reproducible biological and data science research.
2022
bioRxiv
Examines how artificial nest layouts affect within-colony spatial distribution and individual ant space use. Finds nest architecture alters colony spread but not individual territory size.
Zenodo
Tests whether nest geometry influences collective defense performance. Colony defensive behavior remains consistent across nest designs, suggesting flexible behavioral repertoires.
bioRxiv
Investigates nest-wall modification under varying humidity conditions. Results indicate this species does not use wall remodeling as a humidity regulation strategy.
2021
bioRxiv
Identifies a chemical signal produced by hymenopterans that triggers egg-burying behavior in flies, revealing an interspecific chemical communication pathway with implications for host-parasite dynamics.
2020
abctracker.org
Presents a cloud-accessible video tracking system designed for behavioral research. Combines automatic and semi-automatic tracking to handle diverse research contexts with minimal technical overhead.
2017
Nature Scientific Reports
Demonstrates that consistent individual behavioral differences in jumping spiders predict foraging success, contributing to the field of animal personality research.
Workshop Materials
Workshop materials from DSI and previous teaching roles — covering EDA in R and Python, reproducible research workflows, SQL, and Unix shell — are available on GitHub.
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