About me
My name is Guillermo Fidalgo and I’m currently pursuing a Masters in Experimental High Energy Physics (CMS Experiment) at University of Puerto Rico Mayagüez (UPRM) under the mentorship of professor Sudhir Malik. I speak fluent english and spanish. I have a major in Physics and a Minor in applied mathematics. I like watching Netflix, playing Basketball, video games and billiards.
I’m a lifelong learner and I’m also passionate about software training, education and outreach. I am in the training team of IRIS-HEP, HSF, and a certified instructor of The Carpentries. I have done several outreach activities with high school teachers and students in Puerto Rico. I’ve organized and mentored many workshops teaching at different academic levels from high school students to new HEP Postdocs on how to use basic software tools and do analysis. In 2019 I founded the Scientific Software Club (SSC) at my university. This was formed at UPRM to bring together students interested in software related research projects. We have given around 5 workshops including topics : Bash, Git and Python. Most recently, I’ve mentored interns in the U.S. CMS PURSUE program to increase participation from underrepresented groups in HEP. Additionally I’ve also a facilitated the 2023 and 2024 CMS Data Analysis School at the LHC Physics Center at Fermilab (CMSDAS@LPC).
My current interest is Machine Learning (ML) and its applications. I am using ML to monitor the data quality of CMS Tracker and its future upgrade. Recently, I’ve participated and won a Machine Learning Hackathon organized by Lockheed Martin using Transfer Learning to make use of a previously trained CNN with the task to classify surface images from Mars Curiosity rover. I’m also working on an analysis looking for physics beyond the Standard Model (BSM) studying the performance of the “High Level Trigger” used to identify events that may contain signature of decays of dark matter particles to what are known as “Emerging Jets”. This work is soon to be published. I have also authored the Snowmass2021 Community Engagement Frontier (CEF) contributed papers.
Publications
[1] A. Hayrapetyan et al., Search for new physics with emerging jets in proton-proton collisions at $\sqrt{s}$ = 13 TeV, (2024).
[2] S. Malik, A. Karadzhinova-Ferrer, J. Hogan, R. Bray, R. Kamalieddin, K. Flood, A. El-Zant, G. Fidalgo, D. Bruhwiler, and M. Bellis, Facilitating Non-HEP Career Transition, in Snowmass 2021 (2022).
[3] M. G. Bardeen et al., Particle Physics Outreach to K-12 Schools and Opportunities in Undergraduate Education, (2022).
[4] S. Malik et al., Broadening the scope of Education, Career and Open Science in HEP, in Snowmass 2021 (2022).
[5] A. M. Briceño, A. Goel, and G. A. F. Rodriguez, Teaching Python the Sustainable Way: Lessons Learned at HSF Training, (2022).
Research Activities
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Trigger Studies for Emerging Jets Analysis and Machine Learning for Tracker DQM at CMS (Master Thesis)
Made trigger efficiency studies for the signal and signal-free region of the analysis. Also worked to develop ML tools that assist DQM shifters in the data certification workflow.
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Summer REU in CU Pathways to Physics Program, 2021
Interned at the University of Colorado Boulder “Pathways to CU Physics” program under mentorship of Prof. Keith Ulmer. Worked on developing a new “High Level Trigger” to identify events that may contain signature of decays of dark matter particles known as “Emerging Jets”.
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Research Semester abroad at CERN, Spring 2018
Worked under the “University of Michigan-CERN Research Semester Program” on applying Machine Learning in HCAL DQM (Hadron Calorimeter Data Quality Monitoring). This work formed basis of my undergrad thesis under UPRM COOP program titled “Using Machine Learning Techniques for Data Quality Monitoring at CMS Experiment”.