Current

Yul HR Kang (강형률)
Principal Investigator

Yul is an assistant professor at the Department of Bio and Brain Engineering at KAIST. He became interested in how the brain works while studying at Summer/Winter Schools for the International Olympiad in Informatics. After receiving an MD at Seoul National University and a PhD in Neuroscience at Columbia University supervised by Michael Shadlen, he worked as a postdoctoral associate at Computational and Biological Learning Lab with Máté Lengyel at Cambridge University where he also served as a junior research fellow at Wolfson College. He worked as a lecturer at Queen Mary University of London, before he moved to KAIST. Outside the lab, Yul enjoys swimming and drawing.

Kyungmi Noh (노경미)
Doctoral Student

Kyungmi Noh is a PhD Student in the Department of Bio & Brain Engineering at KAIST. She studied Electrical Engineering in Sogang University and got master’s degree in Materials Science from POSTECH. She is interested in exploring the modeling of various psychological mechanisms and their impact on human decision-making. Also, her interest extends to applying this knowledge to more advanced artificial intelligence models, such as strong AI and super intelligent AI, to understand and enhance their capabilities. Her current work is on modeling the decision making process upon multiple tasks. Outside of the lab, Kyungmi enjoys reading, digging and djing musics.

Yeowon Kim (김여원)
Integrated MSc-PhD Student

Yeowon is a graduate student in the Department of Bio & Brain Engineering at KAIST. Before joining the lab, she studied biomedical engineering at Sungkyunkwan university. She is interested in understanding the neural processes involved in spatial navigation, employing AI models as tools. Her current project aims to examine how predictive objective can help in learning probabilistic representations in the brain. Outside the lab, she enjoys walking and traveling.

Donghyun Lee (이동현)
Masters Student

Donghyun Lee is a graduate student in the brain and cognitive engineering program at KAIST. He graduated from Ajou University Department of Software and Computer Engineering. He is interested in determinism and brain-inspired aritifical intelligence. He is currently focusing on making active sensing model for predicting gaze. Outside of the lab, Donghyun enjoys playing and designing games.

Jisoo Yang (양지수)
Masters Student

Jisoo is a graduate student in the Department of Bio & Brain Engineering at KAIST. They are interested in psychiatry, especially mood disorders such as bipolar disorder. They are currently participating in a project on Sleep & Stress Prediction. Previously, they studied Bio & Brain Engineering and Computer Science at KAIST during their undergraduate years. Outside of the lab, they enjoy drawing illustrations or going for a run along the nearest river.

Jihoo Park (박지후)
Masters Student

Jihoo is an graduate student in the Department of Bio & Brain Engineering at KAIST. Before joining the lab, she studied computer engineering at Kyung Hee University. She is interested in understanding the neural mechanisms underlying high-level cognition in the human brain, using AI models. She is also fascinated by techniques for transforming and analyzing brain activation patterns observed during cognitive processes. Currently, Jihoo is participating in the sleep and stress prediction project, focusing on analyzing brain images. Outside of the lab, she enjoys listening to music and taking a picture.

Jovanka Alvira Wijaya
Masters Student

Jovanka is a graduate student in Graduate School of Data Science at KAIST. She got her undergraduate degree in statistics from Institut Teknologi of Sepuluh Nopember, Indonesia. She is interested in the intersection of neuroscience and statistics, and how the brain handles uncertainty through AI and statistical-inspired modeling. Her current work is on spatial navigation model using brain-inspired ideal observer.  Outside the lab, Jovanka enjoys reading, traveling, and going to concerts.

JaeHeon Lee (이재헌)
Undergraduate Student

JaeHeon Lee is an undergraduate student majoring in biology, AI, and electrical engineering at KAIST. He is interested in neural information processing and cognitive uncertainty, and is currently participating in projects deciphering how humans combine uncertainties in multi-step decision making. Outside of academic pursuits, JaeHeon enjoys a wide range of digital media, including movies, anime, and comics.


Co-supervised

  • Prakriti Nayak, PhD Student (co-supervised at QMUL Intelligent Games and Game Intelligence Centre for Doctoral Training), Fall 2023–

Alumni

  • Oskar Stone (co-supervised Masters Student at Cambridge University, Information Engineering Division, 2023–2024), moved on to Gatsby Computational Neuroscience Unit as an intern
  • Tom Durrant (co-supervised Masters Student at Cambridge University, Information Engineering Division, 2022–2023), moved on to Wood Mackenzie in Power and Renewables research
  • Jeroen Olieslagers (co-supervised Masters Student at Cambridge University, Information Engineering Division, 2021–2022), moved on to the PhD program at NYU Neural Science