Emily Nguyen

(she/her/hers) emilyn98@usc.edu

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Nice To Meet You

Hello, I’m Emily. I am a third-year PhD student at the Melady Lab in the Thomas Lord Computer Science Department at the University of Southern California. I am fortunate to be advised by Professor Yan Liu and supported by the NSF GRFP. I’m also working with Professor James Collins in the Infectious Disease and Microbiome Program at the Broad Institute of MIT and Harvard.

Broadly, I’m interested in building machine learning systems for the real-world with applications to biology, healthcare, and sustainability. My research interests lie in multimodal deep learning, interpretability and explainability, and generative AI.

Prior to this, I studied Computer Science at UC Berkeley where I was an undergraduate researcher at Lawrence Berkeley National Laboratory and UCSF co-advised by Drs. Kristofer Bouchard and Roy Ben-Shalom.

Beyond my academic pursuits, I’m deeply interested and active in computer science education and community service. I was a mentor for the Google AI Community Project at USC, which aimed to build mentorship pathways for marginalized communities and foster the curiosity of LA youth about AI. Currently, I am a facilitator for the Good Life Discussions. More of my activities can be found in the Mentorship and Outreach tab! I also enjoy figure skating and sunset walks around campus!

I welcome all efforts to get in touch with me.

news

Aug 26, 2024 Excited to be part of this short film by USC about the Good Life Discussions!
May 15, 2024 Grateful to be a recipient of the Viterbi Undergraduate Research Mentoring Award & Excellence in Science Communication for Social Good Award
Mar 8, 2024 Awarded Best Oral Presentation at USC Pathology Conference :D
Jul 10, 2023 The first paper of my PhD was accepted to AMIA!
Jun 6, 2023 Local news highlighted my research!
Apr 25, 2023 Honored to be 1 of 20 ML recipients of the NSF GRFP, representing ~0.1% of 12,000+ US applicants
Sep 26, 2022 Started by PhD at USC! Fortunate to be mentored by Prof. Yan Liu!

selected publications

2023

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    Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning
    Emily Nguyen, Zijun Cui, Georgia Kokaraki, Joseph Carlson, and Yan Liu
    American Medical Informatics Association Symposium (AMIA), 2023

2022

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    Machine Learning Methods for Supervised Classification of Behavioral Time Series Data
    Emily Nguyen
    University of California, Berkeley, Department of Electrical Engineering and Computer Science (B.A. Honors Thesis), May 2022

2021

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    ReachMaster-3D: An Experimental Platform for Precise 3D Measurement of Whole-Arm Kinematics During Freely-Behaving Reaches in Rats
    Brett Nelson, Shafeeq Ibraheem, Emily Nguyen, and Kristofer Bouchard
    Society for Neuroscience (SfN), May 2021