Trang Nguyen is currently a third-year M.S./PhD student working in the InfoFusion Lab (UMass Amherst) advised by Professor Madalina Fiterau. Her main drive in research is to observe patterns in challenges across multiple domains and translate them into a smaller set of data problems to solve. Her current problem of interest is how to design interpretable multimodal learning systems that can assist human in processing data of various formats, frequency, and quality. You can check out her Three Minute Thesis Finalist video to learn more about one of the applications in multimodal learning that she is passionate about.
Prior to UMass, Trang has worked for several years as a data scientist and data engineer both in non-profit and private sectors and both in big structured organizations and small start-ups. This experience allows her to interact with multiple groups of users so research adoption and research outreach are two goals she commits to.
Besides research, Trang used to serve as Co-Chair and Advisor of Voices of Data Science (VDS), an annual data science conference hosted by UMass. Data science has grown to be one of the most popular careers in the last five years. Through VDS, she hopes to highlight voices of not only data scientists from underrepresented communities but also the ones that do data science in less conventional areas. Her ambition is to show the younger generations of data scientists, especially international students who have a big time constraint of choosing a career path, that there are more paths within data science with equal opportunities and risks than the ones often marketed at school.
Updates
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June 2025 — Two papers accepted at ICML 2025 workshops. Check us out at Actionable Interpretability Workshop and AI Heard That! Workshop.
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November 2024 — Presented a poster on Priming Effects in Vision-Language Models at New England Computer Vision (NECV) 2024.
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October 2024 — Joined MATS Winter 2024 Interpretability Stream (led by Neel Nanda), working on multimodal mechanistic interpretability.
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February 2024 — Our paper, Optimal Fusion of Genotype and Drug Embeddings in Predicting Cancer Drug Response, was published in Briefings in Bioinformatics.
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January – July 2024 — On maternity leave, informally studying human intelligence.
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May 2023 — Received the Lori A. Clarke Scholarship in Computer Science.
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April 2023 — Selected for Honorable Mention of the 2023 Ford Foundation Predoctoral Fellowship.
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February 2023 — Selected as one of the ten Finalists in the 2023 Three Minute Thesis (3MT) Competition.
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February 2023 — Invited to attend the 2023 CRA-WP Grad Cohort for Women