Led at UNM Health Sciences Center by Dr. Chris Amos and Dr. Avinash Sahu, Research in Progress is a collaborative meeting series for researchers – including staff, faculty, and students – who are interested in data science and AI or are looking to incorporate these approaches into their research.
These meetings will take place virtually monthly, typically on the second Thursday of each month.
For more information and to sign up for the Research in Progress meetings, please contact David Arredondo.
Speaker: Dr. Vijayalakshmi Saravanan
Date: Wednesday, August 13, 2026
Time: 3:00–4:00 PM
Location: Zoom
Brain tumor detection is a critical medical imaging task where accuracy and efficiency directly affect diagnosis and treatment planning. This seminar presents KAN-ViT, a parallel and performance-aware AI framework that integrates Vision Transformers with Kolmogorov-Arnold Networks for advanced brain tumor detection.
Read more about this seminar (PDF Flyer)
Zoom Meeting ID: 937 7073 0211
Passcode: ds-rip
Date: Thursday, August 20, 2026
Time: 3:00–4:00 PM
Location: Zoom
Speaker: Jared Carrig
Recent Graduate - BS Computer Engineering, UT Tyler
SRP Project: We are building a pipeline that predicts gene mutation status in breast cancer patients directly from histology slide images, eliminating the need for expensive DNA sequencing.
Speaker: Pierce Secola
Operations Research, North Carolina State University
SRP Project: SDDMS is a machine-learning model that predicts how mutations affect a protein's function by combining several types of biological information—including the protein's structure, evolutionary signals, and a text description of the experiment—into a single system.
Speaker: Saheed Adisa Ganiyu
PhD, Applied Mathematics, University of Arizona Dept. of Mathematics
SRP Project: My summer project extended the SomAtt tumor-genome foundation model to predict drug response in cancer cell lines, using DepMap data to encode each cell line's mutations and pair them with a learned drug embedding.
Zoom Meeting ID: 937 7073 0211
Passcode: ds-rip