Contact me

<aside> ✉️ [email protected]

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<aside> ✉️ [email protected]

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Summary of Qualifications

• A unique background combining advanced transmission electron microscopy and the development of analysis methods using machine learning and deep learning for materials characterization.
• Successfully developed and published multiple open-source, data-driven analysis pipelines to solve critical materials challenges, including 3D observation, characterization of amorphous structures, and elucidation of the structure-property relationships in photovoltaic materials, batteries, catalytic nanoparticles, and semiconductors.
• A forward-looking research program focused on creating "closed-loop," autonomous microscopy platforms that synergistically integrate AI/ML with in situ/operando characterization to accelerate the rational design of next-generation energy technologies.

Education

March 1, 2017 → August 29, 2022

PhD

Advisor: Prof. Miyoung Kim Combined MS/PhD Course ****Materials Science and Engineering Seoul National University

March 1, 2009 → August 28, 2015

BS

Materials Science and Engineering Seoul National University

Experience

March 4, 2024

Now

Postdoctoral Research Associate

electron Physical Science Imaging Centre (ePSIC) Diamond Light Source (Didcot, United Kingdom) Funded by the InFUSE Prosperity Partnership

September 1, 2022 → February 29, 2024

Postdoctoral Research Associate

Research Institute of Advanced Materials (RIAM) Seoul National University (Seoul, South Korea)

July 1, 2015 → July 19, 2016

Semiconductor Engineer

SK Hynix (Icheon-si, Gyeonggi-do, South Korea)

April 26, 2010 → May 6, 2012

Military Service

Hornorable Discharge Republic of Korea Air Force (Seoul, South Korea)

Teaching Experience

July 20, 2023

28th TEM Workshop, Korean Society of Microscopy

Lecture Title: Machine learning in TEM analysis: basics and applications