UNM Data Science Seminar Series

🚀 Join Our Monthly Data Science & AI Research Forum

The DS Research in Progress (RiP) Seminar Series, a monthly seminar designed for researchers—including faculty, staff, and students—interested in data science and AI. This virtual forum is for sharing ongoing research, receiving peer feedback, and cross-campus collaboration between Main and North Campus researchers at UNM.

💡 Goal?

🔹 Present & Refine: Share your research, get feedback, and strengthen your work.

🔹 Collaborate & Connect: Engage with experts in data science, AI, and computation.

Subscribe to our mailing list (Google Account Required): Google Group

 If you do not have a Google account or wish to present your research, please contact: David Arredondo: darredondo@salud.unm.edu Michael Servilla: chico@unm.edu

Courses: CS 551, BME 598 & BIOM 505

This course, tailored for PhD students, explore AI and scientific research, with a focus on biomedical applications. The spring semester will concentrate on multi-modal data AI models, covering seven key areas:

• Autoencoders and Variational Autoencoders

• Data Fusion

• Graph Neural Networks

• Transformers and Other Attention Models

• Cross-modal Attention, Contrastive Learning, and other Multi-modal Approaches

• Q-learning 

• Application of Transformers in Biology Special emphasis is on Foundation Models.

The aim is to provide students with an understanding of these AI technologies and their practical use.