The University of Arizona DataLab (U of A DataLab) serves as a vibrant nexus for interdisciplinary research in AI and the wide field of data science. It offers a collaborative environment where researchers and students from diverse disciplines come together to learn, explore, analyze, and extract insights from complex datasets. Through hands-on workshops, consultations, and a range of tools and resources, the U of A DataLab shows researchers, students, and industry partners how to harness the potential of AI tools and data-driven discovery.
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Fall 2025 U of A DataLab workshops
Visit this page often or the DSI calendar of events to find more workshop sessions offered for Fall 2025. Registration and Zoom links will be available soon.
- Foundation Models to Autonomous Systems: This comprehensive eight-session workshop guides participants through the evolution of machine learning, from foundational neural networks to cutting-edge AI architectures and their practical deployment.
- Geospatial AI: This technical mini-series gives a broad overview of developments in GeoAI and demystify the jargon and concepts for researchers working with GIS/Remote Sensing tools.
- Python & AI for Data Analysis: Beyond traditional methods, the workshop delves into the transformative potential of AI, demystifying machine learning concepts and providing hands-on experience with predictive modeling for students/staff/postdocs across all disciplines who aim to develop foundational and advanced competencies in data analysis using Python and AI.
- Research Productivity: This purpose of this workshop series is to help alleviate the challenges with creating a culture for diverse teams to thrive, plan, and manage projects - whether planning the next project, currently working on projects, or preparing for the next grant proposal submission.
U of A DataLab workshop videos and training material
Watch previous U of A DataLab workshop videos that are on the UArizona DataLab YouTube channel. Review workshop resources and training material on the U of A DataLab Github repository.
Partner with the U of A DataLab
To learn how the U of A DataLab can help you with your research or how to partner with the DataLab, email the team.
- Improved Research: Help researchers to explore new ideas and develop innovative solutions to complex problems leading to breakthroughs in areas like healthcare, finance, and social science.
- Innovation: Encourage innovation and entrepreneurship by providing a space to explore new ideas and develop new applications.
- Industry Partnerships: Facilitate partnerships with industry partners that lead to new research opportunities, funding, and internships.
- Career Opportunities: Provide hands-on experience in data science which can improve job prospects.
Consultations include providing support in specialized software tools and specific algorithms and providing access to computational cloud infrastructure like CyVerse, Jetstream2, and HPC.
Also, graduate students are guided on best practices in source code development, data management, and modeling practices.
Assistance is provided in the scientific computing environments to support specific domain research areas.
- AI/ML applications research software
- Cloud based analytic tools
- Data mining & analytics tools
- Data visualization tools
- Data protection & validation
- Open Science & Reproducible Research
- Convolutional Neural Networks for Text Classification
- Generative AI for Vision: Diffusion Models and GANs
- Large Language Models (LLM)
- Large Language Models Personalization
- Natural Language Processing
- Object Detection and Image Segmentation
- Prompt Engineering
- Speech Processing
- Vision Language Models
- Vision Transformers - VIT
- Deep Learning
- DataLab Training Resources
- LLMs
- Machine Learning
- Medium Publications
- Newsletters
- Recommended Courses
- Substack
- and more Learning Resources
Additional activities
In addition to providing useful information, tools, and resources in the workshop sessions, the Data Science Institute and the U of A DataLab support many projects and activities around the University of Arizona.
- Join the data science community conversations on the Slack channel, uadatascience.slack.com.
- Annual spring events including Women in Data Science-Tucson (WiDS) and ResBaz Arizona (Research Bazaar Arizona).
- Weekly meetings and events that are open to all and are great opportunities to network include Coffee & Code, Hacky Hour, Data & Viz Drop-in, and Code Commons.
Coffee & Code Hacky Hour Data & Viz Drop-in CODE COMMONS
Staff
Jeff Gillan
Michele Cosi
Carlos Lizárraga
Mithun Paul
Associate Members
Greg Chism
Angela Cruze
Tina L. Johnson
Enrique Noriega
Maliaca Oxnam
Tyson Swetnam
Students*
Mandira Bhowmik (U)
Megh Krishnaswamy (GA)
Evelyn O'Neal (U)
*GA=Graduate Assistant, U=Undergrad