My name is Donghyuk Shin (신동혁). I currently work at Amazon as a Machine Learning Scientist.

I graduated with a Ph.D. in Computer Science from the University of Texas at Austin, where I was advised by Prof. Inderjit S. Dhillon and part of the Center for Big Data Analytics. Before then, I received my B.E. and M.S. degrees from Sogang University. My research interests primarily focus on the field of machine learning and data mining, particularly in deep learning, recommender systems, forecasting, social network analysis and big data analytics. I am also interested in the field of business analytics and management information systems and have closely worked with Prof. Andrew B. Whinston.

Contact Information

• dhshin -at- amazon -dot- com

Education

• University of Texas at Austin, Austin, TX, USA.
  • Ph.D. in Computer Science, 2017.
• Sogang University, Seoul, South Korea.
  • M.S. in Computer Science & Engineering, 2008.
  • B.E. in Computer Science & Engineering and B.Econ. in Economics, 2006.

Work Experience

• Machine Learning Scientist, Amazon.com Services, Inc., 2016 – current.
• Intern Scientist, Yahoo Research, Summer 2014.
• Machine Learning Intern, Amazon.com Services, Inc., Summer 2013.

Selected Publications

• Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach [SSRN]
  D. Shin, S. He, G. M. Lee, A. B. Whinston, S. Cetintas, and K. Lee
  MIS Quarterly, Forthcoming, 2019.
• Customer Attitude from Social Media, Customer Satisfaction Index, and Firm Value [pdf][SSRN]
  S. Chung, D. Shin, A. Animesh, and K. Han
  Proceedings of the INFORMS Conference on Information Systems and Technology (CIST), 2017.
• Analyzing Content and Customer Engagement in Social Media with Deep Learning [pdf]
  D. Shin, S. He, G. M. Lee, and A. B. Whinston
  Proceedings of the INFORMS Conference on Information Systems and Technology (CIST), 2016.
• Sharing Behavior in Online Social Media: An Empirical Analysis with Deep Learning [pdf]
  D. Shin, S. He, G. M. Lee, and A. B. Whinston
  Proceedings of the 14th Workshop on e-Business (WeB), Lecture Notes in Business Information Processing (LNBIP), 2016.
• Tumblr Blog Recommendation with Boosted Inductive Matrix Completion [pdf]
  D. Shin, S. Cetintas, K. Lee, and I. S. Dhillon
  Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), 2015.
• Multi-Scale Spectral Decomposition of Massive Graphs [pdf] [code]
  S. Si*, D. Shin*, I. S. Dhillon, and B. N. Parlett
  Proceedings of the Neural Information Processing Systems Conference (NeurIPS), 2014.
• Which App Will You Use Next? Collaborative Filtering with Interactional Context [pdf]
  N. Natarajan*, D. Shin*, and I. S. Dhillon
  Proceedings of the ACM Conference on Recommender Systems (RecSys), 2013.
• Multi-Scale Link Prediction [pdf]
  D. Shin, S. Si, and I. S. Dhillon
  Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), 2012.

(* indicates equal contribution to the work.)