Uzziel Perez is a Graduate Research Assistant at the Department of Physics and Astronomy at the University of Alabama. They are based at CERN. Their research interests include Standard Model Precision Measurements, Machine Learning for Particle Physics and Searches for Exotic Physics. In lay terms, they are interested in seeing if our current understanding of what makes “us” and the universe up is accurate in their predictions. They use time-tested analysis tools to do research and are exploring new techniques such as using neural networks to infer and gain new insights from the data collected from the CMS detector, one of the general-purpose detectors in the Large Hadron Collider. On their free time, they like to hike mountains, find unexplored paths, and write about science, nature, being human, comedy and everything else that they find interesting.
PhD Candidate, Physics, On-going
University of Alabama
BSc in Physics, 2012
Ateneo de Manila University
5 years XP
5 years XP
8 years XP
Responsibilities include:
Pandemic Podcast Project
Science Communication Hackathon Challenge 2020
Talks, Interviews, Articles
Interview with Pecier Decierdo, host of Mind S-Cool which will be aired in CNN Philippines (August 29, 2020 live in link at 8:30 AM Manila time). Upcoming Episode 2 on Matter. Here I explain things that are smaller than atoms and how we probe them at CERN.
The ADD model has been removed from the newest Sherpa version, while pythia can still generate the signal out-of-the-box. The authors compare the Pythia8 and Sherpa signal predictions.