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Hi, I'm Duong, a PhD student at the ETH AI Center in Zurich. I work at the intersection of Machine Learning and Neuroscience, under the supervision of Prof. Dr. Benjamin Grewe and Prof. Dr. Luc Van Gool.
My research interest is to
- develop new data science methods
- build Machine Learning models inspired by the brain
- contribute to human-computer-interfaces.
I enjoy working at the ETH AI Center, where I can collaborate with researchers and companies from various fields in Machine Learning which led to collaborations with groups in Human-Computer-Interfaces, Education, Neuroscience, Psychology, Hardware, and Computer Vision.
I am always happy to meet new people and learn more about their ongoing projects. Feel free to reach out over email for chatting or collaborations!
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Where you can meet me next
Let me know if you also plan to join one of the upcoming events and would like to meet up! 🙂
Research focus
Here I give an overview on my research interests which are:
- applying new data analysis or ML methods to analyze multi-modal time series data
- understanding more about the brain and developing models
Applying new data analysis or ML methods to analyze multi-modal time series data
Understanding more about the brain and developing models
Conferences and publications
- Anh Duong Vo*, Benjamin Ehret*, Roman Boehringer, Elisabeth Abs, Philipp Eugster, Pau Vilimelis Aceituno, Benjamin Grewe (2024), Poster presentation about “Adaptive Neuronal Populations in Medial Prefrontal Cortex During Flexible Avoidance Learning” at Society for Neuroscience 2024
- Anh Duong Vo*, Benjamin Ehret*, Roman Boehringer, Elisabeth Abs, Philipp Eugster, Benjamin Grewe (2024), Poster presentation about “Linking sensory stimuli to avoidance behavior: Investigating the role of adaptive cell populations in prefrontal cortex.” at FENS Forum 2024
- Anh Duong Vo*, Benjamin Ehret*, Roman Boehringer, Elisabeth Abs, Benjamin Grewe (2023), Poster presentation about “Linking tone representation and behavior execution in avoidance learning in medial prefrontal cortex” at Bernstein 2023