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Resume (English only)
Academic Achievements
Recipient of the Best Long Paper Award at EMNLP 2017 and the Best Paper Marr Prize at ICCV 2013. Has also received an NSF CAREER Award, IBM Faculty Award, Google Faculty Research Award, and Facebook Research Award.
Research Experience
Currently an Associate Professor in the Department of Computer Science at Rice University, leading the Vision, Language, and Learning Lab and a research cluster on Closed-loop Computer Vision as part of the Ken Kennedy Institute. Was an Assistant Professor in the Department of Computer Science at the University of Virginia from 2016 to 2021. Also served as a visiting academic with the Amazon AGI Foundations and Alexa AI teams, a visiting professor at Adobe Research, and a visiting researcher at the Allen Institute for Artificial Intelligence (AI2).
Education
Received a PhD in Computer Science from the University of North Carolina at Chapel Hill in 2015, advised by Prof. Tamara L. Berg; an MS in Computer Science from Stony Brook University (SUNY); and an engineering degree from Escuela Superior Politécnica del Litoral in Ecuador.
Background
Research interests lie at the intersection of Computer Vision, Natural Language Processing, and Machine Learning. Focused on developing machine learning models that can understand the real world through multiple modalities and learn naturally from human guidance. Interested in building efficient visual recognition models capable of performing high-level perceptual tasks, while ensuring fairness, transparency, and interpretability.
Miscellany
Personal interests and other information not explicitly mentioned.