Research

Research Highlights

Han Seung-jae (Ph.D candidate from Professor Yoon Young-Gyu’s lab) receives the Trainee Professional Development Award and the AKN Outstanding Research Award at Neuroscience 2023

Han Seung-jae (Ph.D candidate from Professor Yoon Young-Gyu’s lab) receives the Trainee Professional Development Award and the AKN Outstanding Research Award at Neuroscience 2023

 

 

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Ph.D candidate Han Seung-jae from professor Yoon Young-Gyu’s lab, received the Trainee Professional Development Award and the IBS/AKN Pre-doctoral Award at Neuroscience 2023.

Neuroscience 2023 is a conference organized by the Society for Neuroscience, held in Washington DC, USA, from November 11th to 15th, with approximately 30,000 official participants.

 

The Trainee Professional Development Award is given to students who have shown outstanding research achievements in the field of neuroscience. Recipients have the opportunity to present their research findings through a separate poster session and engage in networking with other students in the field.

Additionally, the recipients receive benefits such as a $2,500 scholarship, waived conference registration fees, and participation in workshops provided by institutions.

 

The 2023 AKN Outstanding Research Award is presented by the Association of Korean Neuroscientists based on comprehensive neuroscience research achievements.

The pre-doctoral award was given to a total of five doctoral candidates. A prize of $400 and a certificate are awarded to the recipients. Han Seung-jae received sponsorship from the Institute for Basic Science while writing his paper for the award.

 

At this conference, Han Seung-jae presented research that was selected as the cover article for the October 2023 issue of Nature Methods (Title: “Statistically unbiased prediction enables accurate denoising of voltage imaging data”).

This research proposes an effective method for removing noise from fluorescence microscopy images using machine learning and demonstrates its effectiveness in various experimental environments.