🚀(she/her)
Phd Student
Hi, I’m Duong, a PhD researcher at the ETH AI Center in Zurich, working at the intersection of machine learning, neural data analysis, and human–computer interaction under the supervision of Luc Van Gool and Benjamin Grewe.
I have over 7 years of experience developing scalable AI models, data science pipelines, and machine learning systems across multimodal datasets including images, video, audio, text, and neural data, supported by 10+ years of programming experience.
Currently, I am a research intern at Johnson & Johnson Innovative Medicine, where I work on LLM-based agents, retrieval-augmented generation (RAG), and evaluation frameworks for large language models, focusing on reliability, grounding, and performance on large biomedical datasets.
I am exploring industry opportunities starting in July 2026 where I can apply AI research and large-scale data analysis to real-world problems. If you’d like to connect, collaborate, or discuss opportunities, feel free to reach out via email or LinkedIn.
PhD Computer Science (AI Focus)
ETH AI Center (ETH Zurich)
BS and MS Computer Science
Goethe University Frankfurt
At the ETH AI Center, I greatly enjoy collaborating across disciplines — from neuroscience and psychology to hardware, education, and computer vision — together with both academic and industry partners. My research interest is to (1) develop new data science methods on multimodal data, (2) build Machine Learning models inspired by the brain, and (3) contribute to human-computer-interfaces.
Work: Using parallelization and GPU/CPU to improve data analysis pipelines Denoising neural data and extracting important features Dealing with small datasets Classifying behavior …
Predicting eye movement with EEG/EOG data Work: multimodal system to predict eye movement and focus supervised Master students with following code: …
In 2024, I launched a Python and Data Science course in collaboration with industry partners, providing adults with disabilities in Vietnam access to higher education in …
Work: Movement prediction Transfer learning and generalization Learning on a synaptic scale Applications in industry: Wearables: user intent such as clicking on a button Automotive …
| Event | Location | Date | Status |
|---|---|---|---|
| AI+X Summit (ETH AI Center) | Zurich, Switzerland | October 2, 2025 | Past |
| Society for Neuroscience, poster presentation (Chicago) | Chicago, US | October 5, 2024 → October 9, 2024 | Past |
| FENS conference, poster presentation | Vienna, Austria | June 25, 2024 → June 29, 2024 | Past |
| AI+X Summit (ETH AI Center) | Zurich, Switzerland | October 13, 2023 | Past |
| Bernstein Conference, poster presentation | Berlin, Germany | September 26, 2023 → September 29, 2023 | Past |