Welcome to Neurotechnique and Brain Mapping Lab!
Our mission is to invent tools for extracting multi-modal information from individual cells of intact biological systems. Using the tools, we are demystifying neural networks to understand brain functions, and devising a way to modulate the network for curing brain diseases.
Research Keywords
1
NEUROTECHNIQUE
– 3D Histology techniques
– Novel read-out techniques for the brain
– AI-based 3D image processing
– functional near infrared spectroscopy (fNIRS)
2
BRAIN MAPPING
– Neurodegenerative disease
– Communication between mice
– Finding novel brain network
– Brain-body network
News and notices
🧠 Brain Awareness Week 2025 at KAIST
We are proud to share that KAIST was selected as the national representative for Brain Awareness Week 2025, a global initiative to promote public understanding of brain science. Our lab’s[…]
Read moreHamin Wins the Best Undergraduate Research Award!
Hamin was honored with the Best Undergraduate Research Award at the graduation ceremony.👍🥰 Congratulations on this outstanding achievement!
Read moreYG Connects with NBML’s First Student at Duke-NUS
YG met the first student of NBML, Isabel Crisostomo, at his DukeNUS seminar in Singapore! Isabel was an undergraduate student at NBML from 2020-2021 and is now a student at DukeNUS[…]
Read moreHonored with Best Poster Award at the Chang Hsiang-Tung Brain Science Symposium! Congratulations to Chohyun, Sehun, Daye, and Minsung!
Our lab was honored to present research on A brain-wide interneuronal wireless network mediated by extracellular vesicles at the 2024 Chang Hsiang-Tung Brain Science Symposium in Shanghai. The poster, co-authored[…]
Read moreJoining our group
As of 12.07.2023, we are hiring students and postdocs whose backgrounds are one among below:
Molecular or cell biology
Drug delivery
Neuroscience
Neurotechniques
If you are interested in joining our group, please email the PI (Young-Gyun Park) at ygpark12@kaist.ac.kr with your transcript and/or CV (or some other documents) that describes your background knowledge, interests and skills.
