Academic appointment

• Associate Professor, Division of Biomedical Informatics, Department of Internal Medicine (primary)
• Associate Professor, Department of Computer Science

Education

• PhD in Computer Science; National University of Singapore; Singapore
• BE in Computer Science; Southeast University; Nanjing, China

Biography

Dr. Jin Chen joined IBI as an associate professor in 2016. Previously he was an assistant professor in Department of Energy Plant Research Laboratory and Department of Computer Science and Engineering, Michigan State University. He was a leading software developer in Jiangsu Electric Power Co. from 1997 to 2002 and a research associate in bioinformatics at the Carnegie Institution for Science, Stanford University from 2007 to 2009. Dr. Chen's research focuses on the development of AI algorithms to solve problems in medical and biological informatics. He has developed a series of algorithms for phenomics and genomics data analysis, including inter-functional clustering, transient pattern identification, ontology development, data quality control, gene ranking, and data visualization. He has published more than 50 papers in biomedical informatics. Dr. Chen's research has been supported by NSF, NIH, and DOE.

Courses

• BMI 734, Introduction to Biomedical Image Analysis

Projects

Publications and other works

• • journal article | 2020
  • Peng J, Zhu L, Wang Y, Chen J
  • Mining Relationships among Multiple Entities in Biological Networks
  • IEEE ACM Trans. Comput. Biol. Bioinform.
• • journal article | 2020
  • Fouladvand S, Hankosky ER, Bush H, Chen J, Dwoskin LP, Freeman PR, Henderson DW, Kantak K, Talbert J, Tao S, Zhang GQ
  • Predicting substance use disorder using long-term attention deficit hyperactivity disorder medication records in Truven
  • Health informatics journal
• • journal article | 2019
  • Jiajie Peng, Junya Lu, Donghee Hoh, Ayesha S Dina, Xuequn Shang, David M Kramer, Jin Chen
  • Identifying emerging phenomenon in long temporal phenotyping experiments
  • Bioinformatics
• • conference paper | 2018
  • Wang T, Peng J, Wang Y, Chen J
  • Identifying Representative Network Motifs for Inferring Higher-order Structure of Biological Networks
  • IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Madrid, Spain, December 3-6, 2018
• • journal article | 2018
  • Yin X, Liu X, Chen J, Kramer D
  • Joint Multi-Leaf Segmentation, Alignment, and Tracking for Fluorescence Plant Videos
  • IEEE Trans. Pattern Anal. Mach. Intell.
• • conference paper | 2018
  • Tessmer O, Kramer D, Chen J
  • OLIVER: A Tool for Visual Data Analysis on Longitudinal Plant Phenomics Data
  • IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Madrid, Spain, December 3-6, 2018
• • journal article | 2017
  • Peng J, Xue H, Shao Y, Shang X, Wang Y, Chen J
  • A novel method to measure the semantic similarity of HPO terms
  • Int. J. Data Min. Bioinform.
• • journal article | 2017
  • Xi Yin, Xioaming Liu, Jin Chen, David M Kramer
  • Joint multi-leaf segmentation, alignment, and tracking from fluorescence plant videos
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
• • journal article | 2017
  • Yifan Yang, Lei Xu, Zheyun Feng, Jeffrey A Cruz, Linda J Savage, David M Kramer, Jin Chen
  • PhenoCurve: Capturing dynamic phenotype-environment relationships using phenomics data
  • Bioinformatics
• • journal article | 2016
  • Jiajie Peng, Tao Wang, Jixuan Wang, Yadong Wang, Jin Chen
  • Extending Gene Ontology with gene association networks
  • Bioinformatics