Peter Kyungsuk Pyun

Head Of AI & Big Data Center, SVP at LG Energy Solution

Peter Kyungsuk Pyun has extensive work experience in the field of data science and artificial intelligence. Peter Kyungsuk is currently working at LG Energy Solution as the Head of AI & Big Data Center and Senior Vice President (SVP). In this role, they are responsible for driving the transformation of the company's business processes onto data-driven and AI-driven platforms. Peter Kyungsuk is particularly focused on transforming manufacturing facilities into smart factories to improve the battery manufacturing process.

Prior to their current position, Peter worked at NVIDIA as a Principal Data Scientist and Principal Solutions Architect. During their time at NVIDIA, they led various projects in cloud AI and industrial/manufacturing AI, including integrating AI platforms to Microsoft Azure, real-time inference of NLP models, and collection and curation of product datasets.

Before joining NVIDIA, Peter held senior positions at Samsung Electronics, where they worked as a Senior Director, and at HP, where they served as a Sr. Member of Technical Staff. Peter Kyungsuk also gained experience as an Adjunct Professor at Boise State University and a Visiting Scholar at UCSD.

Peter's academic background includes research and teaching positions at Stanford University and a summer internship at Texas Instruments.

Overall, Peter Kyungsuk Pyun has a wealth of experience in data science, AI, and leadership roles in various companies and academic institutions.

Peter Kyungsuk Pyun holds a Doctor of Philosophy (PhD) degree in Electrical Engineering from Stanford University, as well as a Master of Science (MS) degree in Electrical Engineering from the same institution. Peter Kyungsuk also obtained a Bachelor of Science (Magna Cum Laude) degree in Control and Instrumentation Engineering from Seoul National University's School of Electrical Engineering. In addition to their formal education, Peter has received several certifications in various technical fields, including Deep Learning, High Performance Computing, and GPU Virtualization, among others, from NVIDIA.

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