Dr Peter Pyun to Lead Digital Transformation of LG Energy’s Battery Manufacturing Units Globally

South Korean lithium-ion (Li-Ion) battery manufacturer LG Energy Solution has appointed Dr. Peter Kyungsuk Pyun as its new Chief Digital Officer (CDO) as the company ramps up efforts to digitally transform its entire global facilities into data-centric operations.

Prior to joining LG Energy Solution, Dr. Pyun worked at Nvidia Corporation, Silicon Valley headquarters, as one of the five principal data scientists.

Commenting on the appointment, LG Energy Solution said that “Dr. Pyun has gained global perspective and experience in operating and developing solutions for AI-based monitoring in smart manufacturing. We are thrilled to have him as Dr. Pyun is the right fit who is capable of accelerating efforts to turn LGES’s global battery manufacturing facilities into smart factories.”

He brings with him more than 20 years of expertise in machine learning and extensive global experience as Dr. Pyun has been widely known as a skilled individual in the manufacturing field of global data science.

At Nvidia, Dr. Pyun led multiple projects as a lead architect in the field of autonomous vehicles, industrial artificial intelligence (AI), and Cloud AI.

His successful leadership of an industrial AI team on defect inspection for manufacturing products is now a part of an AI curriculum at the Massachusetts Institute of Technology.

Pyun received MS and PhD degrees in Electrical Engineering from Stanford University focusing on Machine Learning and Computer Vision.

He has received his BS in Control and Instrumentation Engineering from Seoul National University with great distinction.

“Based on his accumulated experience in world-renowned firms, we expect LGES to take a further step forward in battery manufacturing processes by utilizing AI and big-data technology,” the electric vehicle (EV) battery manufacturer added.

The company had earlier announced plans to transform all its global manufacturing facilities into smart factories, to better improve the battery manufacturing process.

By converting into smart factories, the company believes that it can make data-driven decisions, enable automatic calibration and reduce potential battery-related issues.

Moreover, LGES is also confident that it can also improve its profitability by yielding higher value and cutting quality-related costs.