@@ -0,0 +1,37 @@
+---
+layout: codas-hep-participant
+e-mail: iliomar.rodriguez@upr.edu
+institution: University of Puerto Rico at Mayagüez
+name: Iliomar Rodríguez Ramos
+photo: "/assets/images/codas-hep/2026/iliomar-rodriguez-ramos.jpg"
+github-username: iliomar
+linkedin-profile: https://www.linkedin.com/in/iliomar-rodriguez-ramos-64b94b210/
+orcid: https://orcid.org/my-orcid?orcid=0000-0002-3764-1798
+title: Graduate Student in Physics
+website: https://iliomar.github.io
+logos:
+    - /assets/images/codas-hep/logos/CMS.jpg
+    - /assets/images/codas-hep/logos/Iris-hep-logo.png
+    - /assets/images/codas-hep/logos/UPRM_logo.png
+    - /assets/images/codas-hep/logos/IAIFI.jpg
+---
+
+## My research:
+
+My current research includes modeling trigger efficiencies for emerging-jet searches and developing NMF-based anomaly-detection methods for offline detector data quality monitoring within the CMS experiment. I also work on using a flow matching model for pileup mitigation and realistic event generation in HEP.
+
+## My expertise is:
+
+Still working on the “expert” part, but I know my way around machine learning for physics, scientific computing, and data analysis using Python.
+
+## A problem I'm grappling with:
+
+Time management, sleep deprivation, and the ongoing challenge of balancing several research projects at the same time.
+
+## I've got my eyes on:
+
+Autoencoder-based anomaly detection for offline detector data quality monitoring, and how large language models could help make physics analysis workflows more efficient.
+
+## I want to know more about:
+
+Using Coffea and Dask for physics analysis, as well as parallel programming.