Martine Ceberio joined UTEP in 2003 with a Ph.D. degree in CS from the University of Nantes, France. Her research interests are in reliable decision-making under uncertainty and global optimization under constraints, specifically using interval computations. Over the past few years, she has focused on algorithms for simulating and predicting large dynamical systems under uncertainty, with applications to mechanical engineering problems such as flapping wings. Recently, she started studying theoretical foundations of neural networks, as they intersect constraint solving, optimization, and uncertainty.She is passionate about teaching / mentoring students to success. She participated in Google’s Faculty In Residence program (2018), and as mentor in 2019. She leads a virtual FIR faculty cohort since 2020.Her other passion is in broadening participation in CS. Over the years, she has, e.g., welcome high-school female students as summer interns in her lab, started and advised the UTEP’s ACM-W student chapter (2012-18), coordinated the El Paso NCWIT Aspirations in Computing competition for female high-school students (2011-18), and led a Google program introducing undergraduate women to research in computing (2018-20). She is co-PI in a DoEd program for training undergraduate students to leadership and an NSF RET program in cybersecurity and data science.