SHEPHERD23
WE INNOVATE DATA DRIVEN SOLUTIONS
We enable e-commerce companies to maximize customer engagement by delivering personalized and relevant content through machine learning technologies. We transform digital activities into actionable information and intelligent decisions. Our personalized recommendation systems are powered by cutting-edge machine learning technologies.
OUR MISSION
Our mission is to provide e-commerce companies, small or large, with the power of AI. Our products empower e-commerce companies to engage and serve their customers more intelligently.
OUR TECHNICAL EXPERTISE
Our team consists of international experts in machine learning and data science. Collectively, our accomplishments include, but are not limited to:
One registered US patent and 7 registered Korean patents on machine learning and deep learning
10+ publications to premier AI conferences such as NeurlPS, ICML and AAAI.
Winner of Ischemic Stroke Lesion Segmentation Challenge sponsored by MICCAI Society In 2016 and 2017
PEOPLE
FOUNDER
MYUNGHEE CHO PAIK
CEO of Shepherd23
Professor of Statistics, Seoul National University
Formerly Professor of Biostatistics at Columbia University
PhD at University of Pittsburgh
FEATURED CO-FOUNDERS
YONGDAI KIM
Director, AI Center for Data science and Professor of Statistics
Seoul National University
PhD in Statistics, Ohio State University
JOONG-HO (JOHANN) WON
Professor of Statistics
Seoul National University
PhD in Electrical Engineering, Stanford University
WONCHEOL JANG
Chair and Professor, Department of Statistics
Seoul National University
Formerly, Faculty at Duke University
PhD in Statistics, Carnegie Mellon University
SUNGKYU JUNG
Associate Professor of Statistics
Seoul National University
Formerly Faculty at U Pittsburgh
PhD in Statistics, University of North Carolina at Chapel Hill
HONGSOO KIM
Director, AI Center for Care and Health and Professor of Public Health Science
Seoul National University
Formerly Faculty at NYU
PhD in Geriatric Nursing Health System, New York University
TAESUP MOON
Associate Professor of Electrical and Computer Engineering and Graduate School of AI, AI Institute
Seoul National University
PhD in Electrical Engineering, Stanford University
JAE-KWANG KIM
LAS Dean's Professor of Statistics
Iowa State University
PhD in Statistics, Iowa State University
GI-SOO KIM
Assistant Professor of Industrial Engineering
Ulsan National Institute of Science and Technology
PhD in Statistics, Seoul National University
YOUNG-GEUN CHOI
Assistant Professor of Statistics
Sookmyung Women's University
PhD in Statistics, Seoul National University
YONGCHAN KWON
Assistant Professor of Statistics
Columbia University
PhD in Statistics, Seoul National University
YOUNGGEUN KIM
Adjunct Associate Research Scientist of Biostatistics
Columbia University
PhD in Statistics, Seoul National University
WONYOUNG KIM
Postdoctoral Research Scientist of Industrial Engineering
Columbia University
PhD in Statistics, Seoul National University
OUR PRODUCTS
TEAM CREW
TEAM CREW is a web/app that recommends a personalized physical activity video based on a contextual bandit algorithm. This product is a prototype to collect information on user's digital behaviors and test the performance of the recommendation algorithm and identify potential problems.
PICKHOUND
PickHound is a plug-in for CAFE24, a Korean eCommerce platform for all businesses. Our plug-in provides data analytics of user interactions. PickHound predicts individualized customer preferences in real-time and recommends items based on contextual bandit algorithms. PickHound makes high technologies accessible to e-commerce companies without internal technical teams.
