( Last Update : 05/12/2016 01:04:34 )



Now I am a senior applied research scientist at LinkedIn

   I received my PhD degree from Stanford University in 2014 under the supervision of Jure Leskovec. My main research topic was modeling social networks where auxiliary information such as node attributes or timestamps are given. This research required applying the advanced machine learning into graph data such as social networks. Besides the main research, I also worked on human mobility, topic modeling, and big data. I was a member of SNAP group and InfoLab. Before PhD, I also completed MS in Statistics at Stanford University.
   My main research intrests include social network analysis, which includes social network modeling, network evolution modeling, and network inference/completion. At LinkedIn, I am also working for the team providing PYMK (People You May Know) service. PYMK service is the connection recommendation service for +400M LinkedIn members.
   For non-professional interests, I love (to watch) baseball so I used to play MLB Fantasy League. Also, I like the other sports: basketball, soccer, football, etc.


2015.04 - present Senior Applied Research Scientist, LinkedIn Corporation (SNA team)
2014.03 - present Applied Research Scientist, LinkedIn Corporation (SNA team)
2012.06 - 2012.09 Summer Intern, LinkedIn Corporation (SNA team)
2011.06 - 2011.09 Summer Intern, eBay Research Labs
2003.09 - 2007.03 Software Engineer, Piolink, Inc., Seoul, South Korea


2009.09 - 2014.03 PhD, Electrical Engineering, Stanford University (Advisor : Jure Leskovec )
2010.09 - 2011.03 MS, Statistics, Stanford University
2000.03 - 2003.08 BS, Electrical Engineering, Seoul National University, South Korea
1997.03 - 2000.02 Seoul Science High School, South Korea

Awards & Scholarships

2012 ICML 2012 Student Travel Scholarship
2011 UAI 2011 Student Travel Scholarship
2007 - present Kwanjeong Educational Foundation Scholarship
1997 Asian Pacific Mathematics Olympiad, Silver medal


office : 2029 Stierlin Court, Mountain View, CA 94043
email : mykim [at] cs [dot] stanford [dot] edu
linkedin : [in] myunghwankim
twitter : [at] deadlive


•  Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay
by Y. Shi, M. Kim, S. Chatterjee, M. Tiwari, S. Ghosh, and R. Rosales, The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. 
•  Importance of First Steps in a Community for Growth, Diversity, and Engagement
by Atef Chaudhury, Myunghwan Kim, and Mitul Tiwari, The 25th International World Wide Web Conference (WWW), 2016 (poster).  [LINK]
•  Dimensionality matching of social networks using motifs and eigenvalues
by A. Bonato, D.F. Gleich, M. Kim, D. Mitsche, P. Pralat, A. Tian, S.J. Young, PLoS ONE 9(9):e106052, 2014.  [LINK] [ArXiv]
•  Modeling Networks with Auxiliary Information
by Myunghwan Kim, PhD Thesis, Stanford University, 2014.  [PDF] [LINK]
•  Nonparametric Multi-group Membership Model for Dynamic Networks
by Myunghwan Kim and Jure Leskovec, Neural Information Processing Systems Conference (NIPS), 2013.  [PDF] [ArXiv]
•  Root Cause Detection in a Service-Oriented Architecture
by Myunghwan Kim, Roshan Sumbaly, and Sam Shah, ACM SIGMETRICS, 2013.  [PDF]
•  Latent Multi-Group Membership Graph Model
by Myunghwan Kim and Jure Leskovec, The 29th International Conference on Machine Learning (ICML), 2012.  [PDF]
•  Multiplicative Attribute Graph Model of Real-World Networks
by Myunghwan Kim and Jure Leskovec, Internet Mathematics, 8(1-2):113-160, 2012.  [PDF] [LINK]
•  Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model
by Myunghwan Kim and Jure Leskovec, The 27th Conference on Uncertainty in Artificial Intelligence (UAI), 2011.  [PDF] [ArXiv]
•  Network Completion Problem: Inferring Missing Nodes and Edges in Networks
by Myunghwan Kim and Jure Leskovec, The 11th SIAM International Conference on Data Mining (SDM), 2011.  [PDF] [FULL]
•  Multiplicative Attribute Graph Model of Real-World Networks
by Myunghwan Kim and Jure Leskovec, The 7th Workshop on Algorithms and Models for the Web Graph (WAW), 2010.  [PDF] [ArXiv]