Hyunjin Kim

In one word, I am a bioinformatician. Currently, I am a research associate in Ponder and Markowetz' group, and trying to discover new things using lung cancer data. During my PhD, I devised cancer classification algorithms using gene expression data and also proposed some computational algorithms to identify disease-associated genes and drugs. I have interests in development of data mining algorithms with biomedical data to produce clinically actionable information. I would like to identify causes and development processes of serious and rare diseases. My ultimate research goal is constructing a medical decision support system with diagnosis and prognosis of various diseases.

Vita

Since 09/2016
Research Associate at Cancer Research UK Cambridge Institute
Advisors: Bruce Ponder, Florian Markowetz

12/2015 - 02/2016
Visiting Junior Researcher at University of Texas Southwestern Medical Center, USA
Advisor: Tae Hyun Hwang

09/2010 - 08/2016
PhD Student at Yonsei University, South Korea
Advisor: Sanghyun Park

03/2006 - 08/2010
Undergraduate Student at Yonsei University, South Korea

Degrees

PhD in Computer Science
2016, Yonsei University, South Korea

BEng in Computer Science
2010, Yonsei University, South Korea

Hyunjin Kim

Hyunjin Kim
University of Cambridge
CRUK Cambridge Institute
Li Ka Shing Centre
Robinson Way
Cambridge, CB2 0RE, UK
e: hyunjin.kim@cruk.cam.ac.uk
p: +44 (0) 1223 769 663

CRUK logo Cambridge University

Publications

Journals

  1. Hyunjin Kim, Youngmi Yoon, Jaegyoon Ahn, Sanghyun Park, "A literature-driven method to calculate similarities among diseases", Computer Methods and Programs in Biomedicine, vol. 122, issue 2, pp.108-122, 2015.
  2. Jihwan Ha, Hyunjin Kim, Youngmi Yoon, Sanghyun Park, "A method of extracting disease-related microRNAs through the propagation algorithm using the environmental factor based global miRNA network", Bio-Medical Materials and Engineering, vol. 26, issue s1, pp.1763-1772, 2015.
  3. Jeongwoo Kim, Hyunjin Kim, Youngmi Yoon, Sanghyun Park, "LGscore: A method to identify disease-related genes using biological literature and Google data", Journal of Biomedical Informatics, vol. 54, pp.270-282, 2015.
  4. Chihyun Park, Jaegyoon Ahn, Hyunjin Kim, Sanghyun Park, "Integrative gene network construction to analyze cancer recurrence by using semi-supervised learning", PLoS One, vol. 9, no. 1, 2014.
  5. Hyunjin Kim, Jaegyoon Ahn, Chihyun Park, Youngmi Yoon, Sanghyun Park, "A novel approach to predict prognosis of prostate cancer with inner-class clustering of gene expression data", Computers in Biology and Medicine, vol. 43, no. 10, pp.1363-1373, 2013.

Conference Papers

  1. [Oral] Hyunjin Kim, Sanghyun Park, "Discovering disease-associated drugs using web crawl data", The 31st ACM Symposium on Applied Computing (ACM SAC 2016), Regular paper, Pisa, Italy, April, 2016.
  2. [Poster] Jeongwoo Kim, Hyunjin Kim, Yunku Yeu, Mincheol Shin, Sanghyun Park, "TILD: A strategy to identify cancer-related genes using title information in literature data", The 8th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO"14), Shanghai, China, August, 2015.
  3. [Poster] Hyunjin Kim, Sanghyun Park, "A novel approach to detect disease-related genes using protein-protein interactions and literature-driven gene network", The 21st Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2013), Berlin, Germany, July, 2013.