Emily Nguyen
(she/her/hers) emilyn98@usc.edu
Nice To Meet You
Hello, I’m Emily. I am a 2nd 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 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 and was an undergraduate researcher at Lawrence Berkeley National Laboratory and UCSF. My co-advisors were Professors Kristofer Bouchard and Roy Ben-Shalom.
Beyond my academic pursuits, I’m deeply interested and active in computer science education and community service. Currently, I’m a mentor for the Google AI Community Project at USC, which helps educate LA youth and their families about AI. I continue to serve as an advisor for Berkeley Undergraduate Research. More of my activities can be found in the Mentorship and Outreach tab! I also enjoy figure skating, sunset walks around campus, and visits to my hometown in San Diego!
I welcome all efforts to get in touch with me.
news
May 15, 2024 | Excited to join the Collins lab as an Intern at the Broad Institute of MIT and Harvard! |
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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 highlighting my work (article) |
Apr 25, 2023 | It is an honor to be a recipient of the NSF GRFP |
selected publications
2023
- Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep LearningAmerican Medical Informatics Association Symposium (AMIA), 2023