Joonseok Lee

Research Engineer at Google AI

Joonseok Lee is an Assistant Professor at Seoul National University's Graduate School of Data Science, where he has been working since March 2021.1 He leads the Visual Information Processing lab at the university.1

Dr. Lee has an extensive background in academia and industry:

Education

Ph.D. in Computer Science from Georgia Institute of Technology (2010-2015), with a perfect 4.00/4.00 GPA1
B.S. in Computer Science and Engineering from Seoul National University (2003-2009), graduating Summa Cum Laude and first in his department1

Professional Experience

Currently works as a Software Engineer at Google (since June 2015), focusing on large-scale video understanding and recommendation1
Previously held internships at prestigious tech companies:
- Amazon (2014): Worked on cold-start recommendation systems for Amazon Instant Video1
- Microsoft Research (2014): Part of the Interaction and Intent Group1
- Google (2013): Focused on machine learning and large-scale data mining1

Research Interests

His research interests primarily lie in machine learning and computer vision.1 This aligns well with his current role at Seoul National University and his ongoing work at Google.

Awards and Honors

Throughout his academic career, Lee has received several accolades:

Best Student Paper Award at the 23rd ACM International World Wide Web Conference (2014)1
KSEA-KUSCO Graduate Students Scholarship (2014)1
Best Poster Presentation Award at the US-Korea Conference (2014)1

Joonseok Lee's diverse experience in both academia and industry, coupled with his strong educational background and research interests, positions him as a notable figure in the fields of machine learning, computer vision, and data science.