Institute of Science Tokyo (formerly Tokyo Institute of Technology)
September 2022 – expected June 2026
Ph.D. research in experimental particle physics focused on statistical modeling and machine learning methods for background estimation in diphoton analyses within the ATLAS collaboration.
Tokyo Institute of Technology
September 2020 – September 2022
Master's research on quality control for semiconductor pixel detectors, including image processing pipelines for visual inspection, image stitching, and robust feature extraction under production constraints.
Universidad Nacional Autónoma de México (UNAM)
August 2014 – October 2019
Undergraduate studies in physics with research experience in Monte Carlo simulations and data analysis, including machine learning–based classification and feature analysis using ROOT TMVA.
Tokyo Tech Academy for Leadership, Tokyo Institute of Technology
April 2023 – present
Educational support for leadership development programs, including workshop facilitation, technical coordination, and support for interactive and discussion-based sessions.
Data Science and Artificial Intelligence Education Department, Tokyo Institute of Technology
December 2022 – January 2024
Teaching assistant for courses on statistical methods and data science, supporting lectures on multivariable analysis, dimensionality reduction, and resampling techniques.
Institute of Science Tokyo
November 2021 – May 2023
Qualification task within the ATLAS collaboration focused on detector alignment, contributing to production-level reconstruction software under strict code review and validation procedures.
UNAM
December 2017 – July 2018
Research internship using Monte Carlo simulations to study particle correlation effects in high-energy collisions, with results presented at a national ALICE collaboration conference.
UNAM
August 2015 – August 2016
Early research experience in experimental optics, involving data acquisition, laser alignment, and mathematical modeling of beam profiles in nonlinear optical measurements.
irsotarriva@gmail.com