DIAL People

Headhsot of Nitesh Chawla, a smiling man with dark hair, round black-framed glasses, a light blue band-collar shirt, and a blue blazer.

Nitesh Chawla

Lucy Family Director for Data & AI Academic Strategy; Director, Data, AI & Computing Initiative; Director, Lucy Family Institute for Data and Society; Frank M. Freimann Professor, Department of Computer Science and Engineering

Nitesh Chawla is an expert in artificial intelligence, data science, and network science, and is motivated by the question of how technology can advance the common good through interdisciplinary research. As such, his research is not only at the frontier of fundamental methods and algorithms but is also making interdisciplinary and translational advances for societal impact.

Headshot of Numo Moniz, a man with curly reddish-blonde hair, a beard, and orange glasses smiles, wearing a dark blue button-up shirt.

Nuno Moniz

Associate research professor, Lucy Family Institute for Data & Society; Associate Director of the Data, Inference, Analytics, and Learning Lab

Moniz, who joined the University of Notre Dame in 2022, is an expert on machine learning, investigating challenges such as imbalanced learning and rare event detection, data privacy, and model interpretability, for which he has won multiple awards internationally. He is particularly interested in interdisciplinary efforts to understand the real-world impact of automated systems.

Headshot of Jasmine Botello, a smiling woman with long dark hair and light brown eyes, wearing a black blazer and white top, looking directly forward.

Jasmine Botello

Executive assistant, Data, AI, and Computing Initiative

Jasmine Botello provides administrative support for Nitesh Chawla, and the DAC Initiative's adminstrative operations. Before joining Notre Dame full time, Jasmine worked as a student for the CRC and Latino Studies on campus. Jasmine holds a Masters of Art in Health Communication from Indiana University of South Bend and a Bachelor of Arts in Studio Art with a minor in Communications.

Heashot of Angélica García Martínez, a smiling woman with short, salt-and-pepper hair, wearing a black blazer, white shirt, and a prominent red beaded necklace.

Angélica García Martínez

Assistant research professor, Lucy Family Institute for Data & Society

Angélica García-Martínez is an expert in cancer epidemiology and early childhood development, with extensive experience working with highly vulnerable children in rural and Indigenous communities in Mexico. As a postdoctoral research scholar at the Lucy Family Institute for Data and Society at the University of Notre Dame, she co-led the design and evaluation of AI-driven telehealth innovations (e.g., SaludConectaMX) aimed at improving pediatric cancer outcomes in LMICs by integrating clinical, nutritional, and social determinants of health data to predict and prevent complications such as fever and neutropenia.

Headshot of ting Hua, a woman with long dark hair, glasses, white turtleneck, and black blazer against a gray background.

Ting Hua

Assistant research professor, Lucy Family Institute for Data & Society

Ting Hua’s research focuses on efficient learning of large language models (LLMs), including model compression, alignment, parameter-efficient fine-tuning, and self-training, with applications spanning natural language processing, speech, and multi-modal tasks.

DIAL Research Team