Trilce Estrada is an associate professor in the department of Computer Science at the University of New México and the director of the Data Science Laboratory. Her research interests span the intersection of Machine Learning, High Performance Computing, Big Data, and their applications to interdisciplinary problems in science and medicine. Estrada received an NSF CAREER award for her work on in-situ analysis and distributed machine learning. In 2019 she was named the ACM SIGHPC Emerging Woman Leader in Technical Computing. Currently she is the Big Data aspect lead for the NSF-TCPP national curriculum development initiative and PI faculty advisor of the New México’s Critical Technology Studies Program. 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 computer systems from The University of Guadalajara, Mexico.
CS and Math
Emerging Applications
Chemistry and Materials
Climate and Weather