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

When? Second Thursday of every month at 3 PM (MT)

Join via Zoom: Click Here

Meeting ID: 937 7073 0211

Passcode: ds-rip

Feb 13 2025 : Dr. Ang Li, Assistant Professor of Medicine in Hematology & Oncology at Baylor College of Medicine

VTE-BERT, a large language model for identifying venous thromboembolism (VTE) using clinical notes and radiology reports.

Nov 2024 : Dr. David Arredondo, Postdoc Research Fellow, UNMCCC

Language Model for the Tumor Genome

Sept 2024 : Dr. Kushal Virupakshappa, Postdoc Research Fellow, UNMCCC

AI-based detection of solar elastosis—a severe sunburn condition—from histology, and its implications for melanoma

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.