Trilce Estrada is an associate professor in the department of Computer Science at the University of New Mexico. She earned her PhD in 2012 from University of Delaware. Her research interests include self-managed distributed systems, Big Data analysis, crowd sourcing, and machine learning. Her overarching research goal is to solve computationally intensive and data intensive problems in science, health, and education, especially in scenarios where resources and trained professionals are scarce. She is also actively involved in improving participation of women in computing-related fields.
Her work for Accurate Scoring of Drug Conformations at the Extreme Scale won first place at the 2015 IEEE International Scalable Computing Challenge, a competition in which participants demonstrate working solutions to real-world problems that rely on large scale computing. In 2019 she was named the ACM SIGHPC Emerging Woman Leader in Technical
Computing. This award is presented to a woman in HPC every two years in recognition of impact as indicated by early career achievements and commitment to growing the HPC community through service and mentorship. She has been chair of multiple mentoring efforts, reaching over 400 students, including the PhD Forum and Student Program at IPDPS (2014-2018) and the Mentor Protege Program at SC (2019). Estrada obtained a PhD in Computer Science from the University of Delaware, a M.S in Computer Science from INAOE, Mexico and a B.S in Informatics from the Universidad de Guadalajara, Mexico.