Large-scale imaging and computing for system neuroscience

7th March 2024

Timing : 1 pm EST

Please use this zoom link for joining the webinar

For a list of all talks at the NanoBio seminar Series Spring'24, see here


Neuroscience always has been a heavily technology-starved field that has been often revolutionized with the rise of a new technology, and arguably the future advancement of neuroscience will also depend largely on the development of new technologies. Specifically, technologies that allow us to acquire big data from brains and analyze them in an automated fashion would be of great interests for system neuroscience. This talk describes a study that aims to develop microscopy techniques and computational algorithms that are designed to complement with each other to acquire and analyze such large-scale datasets with unprecedented throughput and accuracy.



Snow
Dr. Young-Gyu Yoon
Associate Professor
School of Electrical Engineering
KAIST

Young-Gyu Yoon is an associate professor of electrical engineering at KAIST and he holds a joint appointment in the Department of of Semiconductor System Engineering and KAIST Institute for Health Science Technology (KI HST). He is the leader of the KAIST Neuro-Instrumentation and Computational Analysis lab, an interdisciplinary research group focused on advancing neurotechnology, optical imaging, and computing. He received the B.S. and M.S. degrees in EE from KAIST, Daejeon, Korea, in 2007 and 2009, respectively, and the Ph.D. degree in EECS from the Massachusetts Institute of Technology, Cambridge, MA, in 2018. He received the 2009 IEEE Transactions on Circuits and Systems Guillemon-Cauer Best Paper Award for his work at professor SeongHwan Cho's group on mixed-signal CMOS circuit design. During his doctoral studies with Professor Ed Boyden, Yoon developed optical and computational tools for imaging and analyzing brain circuits. Following his Ph.D. studies, he briefly worked as a Postdoctoral Associate at MIT.