Haojun Zhuang
庄皓骏
rickyzhuang[at]berkeley[dot]edu
About Me
Hi there! I'm an EECS Master's student at UC Berkeley.
I am passionate about using AI and engineering (software, hardware, ML..) to solve problems in neuroscience and medicine to improve human well-being.
My research focuses on personalized multimodal health AI, computational neuroscience, brain-computer interfaces (BCI), and robotics.
Some of my non-academic interests are basketball, climbing, video games (especially Minecraft, Overwatch, and Civ6), spending time with my cats, reading, cooking, and traveling.
Publications
Haojun Zhuang, Dünya Baradari, Nataliya Kosmyna, Arnav Balyan, Constanze Albrecht, Stephanie Chen, Pattie Maes.
"Detecting Reading-Induced Confusion using EEG and Eye Tracking." arXiv preprint arXiv:2508.14442 (2025). https://arxiv.org/abs/2508.14442.
Haojun Zhuang, Arthurine Zakama, Katherine Heller, Shakeela Faulkner, Bruce Gollub, Nichole Young-Lin, Irene Y. Chen, Mercy Asiedu.
"Large scale analysis and prediction of adverse maternal health events across heterogeneous populations from the All of Us dataset."
Under Review.
Mattia Pagnotta, Haojun Zhuang, K. Slama, K. D. Laxer, T. Endestad, A.K. Solbakk, J. J. Lin, R. T. Knight.
“Visual search: a false dichotomy.” Society for Neuroscience Annual Meeting (SfN 2025), San Diego, CA.
“Visual search: a false dichotomy.” Society for Neuroscience Annual Meeting (SfN 2025), San Diego, CA.