Jinseok Nam

Biointelligence Lab (BI)
School of Computer Sci. and Eng.
Seoul National University
Seoul 151-742, Korea

Office: 302-314-1
Phone: +82-2-880-1835
Fax: +82-2-883-9120
E-mail: jsnam@bi.snu.ac.kr


Technische Fakultaet
Universitaet Bielefeld
Universitaetsstrasse 25
33615 Bielefeld, Germany

About me
I am currently a visiting researcher in AG WBS with Ipke Wachsmuth at Bielefeld University. I did my master degree at Seoul National University with B.-T. Zhang. My research focuses on nonparametric Bayesian data analysis, deep learning architecture, and the application of text analysis.


Seoul National University
, Seoul, South Korea (Advisor: B.-T. Zhang)
M.S. in Computer Science and Engineering, February 2011
Thesis: Probabilistic Graphical Models for Discovering Mobile Phone User's Life Patterns [PDF][Abtract(EN)]

Chung-Ang University, Seoul, South Korea
B.S. in Computer Science and Engineering, February 2009

Research Experience
  • Visiting Researcher, Bielefeld University, Germnay (Spring 2011 ~ Present)
Explored machine learning methods for classifying human gesture representations and identifying building blocks in unsupervised manner. [Abstract][Slides]

  • Research Assistant, Seoul National University, South Korea (Spring 2010 ~ Spring 2011)
Discovering meaningful daily hidden structures in smartphone sensor data using the Latent Dirichlet Allocation model. [Slides]

  • Jinseok Nam and B.-T. Zhang, A Method to Discover Mobile Phone Users Daily  Pattern Using Probabilistic Topic Models, Korea Computer Congress, 2010 (in  Korean) [PDF]
  • Jinseok Nam and B.-T. Zhang, Sentence Generation utilizing Sequential Cues in a  Random Hypergraph Memory, Korea Computer Congress, 2010 (in Korean) [PDF]
Relevant Cources
Probabilistic Graphical Models, Probabilistic Reasoning, Machine Learning, Random Processes, Data Mining, Genetic Algorithm

Computer skills
  • Programming Languages: Matlab, Python, C, C++, C#, JAVA, Ajax, Django, SQL
  • Software: Subversion, Eclipse, LATEX
  • Operating Systems: Linux, Mac OSX, Windows family

Teaching Experience
  • Teaching Assistant, Seoul National University, South Korea (Spring 2009)
Programming language course for graduate students in Bioinformatics department.
The course covers java programming language fundamental, data structures, and algorithms. Responsibilities include teaching, grading, and writing detailed homework  solutions

Language Skills
Korean(mother tongue), English(intermediate), German(beginner)