Paola聽Cascante-bonilla
Assistant Professor at Stony Brook University
Town of Brookhaven, New York, United States
Summary
馃懁
Senior馃帗
Top SchoolPaola Cascante-Bonilla is an Assistant Professor of Computer Science at Stony Brook University and a former postdoc at UMD鈥檚 UMIACS, specializing in trustworthy machine learning for vision and language. She earned a PhD from Rice University and blends deep expertise in multi-modal, few-shot, and semi-supervised learning with practical experience using synthetic data for compositionality and privacy. Her research has been published at top venues including CVPR, ICCV, NeurIPS and NAACL, and she has contributed to industry research at IBM and Mitsubishi Electric on synthetic humans, simulated environments, and visio-linguistic reasoning. With nine years of industry and research experience stretching from software engineering to advanced ML research, she bridges robust systems thinking with rigorous academic methods. An interesting thread through her work is using synthetic data not just to scale labels but to encode structure that improves compositional generalization and privacy guarantees. Based in Brookhaven, NY, she combines strong theoretical training with hands-on experimentation in simulators and large-scale multimodal models.
9 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at Rice UniversityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Tecnol贸gico de Costa RicaMaster of Computer Science, MCS, 4.0, Master of Computer Science, MCS, 4.0 at University of Virginia
Github Skills (7)
machine-learning3
data-augmentation3
drawing2
javascript2
deep-learning2
dialog2
pytorch2
Programming languages (1)
Github contributions (5)
pcascanteb/pcascanteb.github.io
Apr 2020 - Aug 2023
Contributions:161 pushes in 3 years 4 months
uvavision/TV-GZSL
Nov 2022 - Nov 2022
Contributions:9 commits in 1 day
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