Allison Austin
Contact: amaustin [at] ucdavis.edu
GitHub: allisonaustin
Google Scholar
CV
[2026.07] Started FCSI internship at Fermi National Accelerator Laboratory
[2026.07] Presented work at ACM BCB in Rende, Italy
[2026.06] Presented work at ISC-HPC in Hamburg, Germany
[2026.05] My ALCF internship project, "Interactive Visual Analytics for Generating and Exploring LLM-Predicted Protein-Protein Interactions" was accepted to ACM BCB 2026
[2026.03] Our paper "Understanding Large-Scale HPC System Behavior Through Cluster-Based Visual Analytics" has been accepted to ISC 2026
[2025.06] Started internship with the CELS group at Argonne National Laboratory
[2023.11] Presented work at the International Semantic Web Conference in Athens, Greece
[2023.09] Joined the VIDI Group at UC Davis as a PhD student in Fall '23
Theme by orderedlist
Hello! I'm PhD student at the University of California, Davis advised by Dr. Kwan-Liu Ma at the VIDI Labs. I previously worked with Dr. Bo Fu in the D2 Lab at California State University, Long Beach.
I'm currently working on applying visual analytics for understanding complex machine learning models and monitoring high-performance computing (HPC) systems.
On-going Projects
Visualizing Distributed Resilient Workflows and Infrastructure
With the use of HPC systems for large-scale experiments and simulations, visual analytics tools provide feasible monitoring solutions for many HPC applications. I am currently exploring real-time, interpretable ML-based techniques for visualizing HPC system performance at scale. [details]
Publications
ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB 2026)
Allison Austin, Shilpika, Aditya Tanikanti, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma
[paper][code]
International Semantic Web Conference (ISWC 2023)
Bo Fu, Allison Austin, Max Garcia
[paper][presentation][code]