Computational Statistics and Data Analytics Lab
CSDA (Computational Statistics and Data Analytics) is a multidisciplinary student-centered research group, working on research projects in applied statistics, machine learning, computation science, and AI. The following are the main areas of research expertize (but not limited to):
- Statistical monitoring: statistical methods for system monitoring purposes, including QC, control charts, health monitoring, profile monitoring, IoT monitoring, image monitoring, etc.
- Uncertainty Quantification: conformal predictors and robust statistics
- Health Analytics: sports medicine/orthopedics, cancer flow cytometry, mental health x cancer x metabolic syndromes, predictive modeling and causal inference.
- Education AI: AI advising chatbot, RAG systems, LLM, Agents.
CSDA Lab Meetings in Spring 2025
Grants and Collaboration
- Air Force Research Laboratory
- NIH All of Us Research Program
- IHMC and ARL
- Mayo Clinic
- Andrews Research & Education Foundation
Research Guidelines
Please review the research guidelines.
Joining CSDA Lab
If you are interested in joining, please go to the recruitment page.
News
Apr, 2026Congratulations to Cheyanne! Her project has been selected as the recipient of the High-Impact Practices (HIP) Student Award for this year’s Office of Undergraduate Research Student Scholar Symposium.!
Apr, 2026Congratulations to David winning MathStat Department Graduate Research Award 2026!
Apr, 2026Congratulations to Shrishti winning MathStat Department Graduate Research Award 2026!
Apr, 2026Congratulations to Shrishti and Dylan who presented at the UWF Symposium Research 2026!
Apr, 2026Congratulations to our students to get selected for SURP 2026!
Mar, 2026Congratulations to our students who presented at the IEEE Southeast Con 2026!
Nov, 2025Dr. Cohen Co-I in All of US research Grant Awarded with PI Dr. Chhabria.
Nov, 2025Dr. Cohen Award for grant awarded from UWF Research Administration.
January 7-10, 2025Michael Carnival presented a talk at JMM conference in Seattle.