![]() |
Jin Chen PhD ude.yku@nij.nehc
ORCID: 0000-0003-2240-5060 |
Specializations
- Machine learning
- Medical imaging
- Phenomics
- Genomics
Research areas
Academic appointment
- Associate Professor, Division of Biomedical Informatics, Department of Internal Medicine (primary)
- Associate Professor, Department of Computer Science
Administrative appointment
- Interim Chief, Division of Biomedical Informatics
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
Publications and other works
-
- journal article | 2019
- Identifying emerging phenomenon in long temporal phenotyping experiments
- Bioinformatics
-
- journal article | 2017
- Joint multi-leaf segmentation, alignment, and tracking from fluorescence plant videos
- IEEE Transactions on Pattern Analysis and Machine Intelligence
-
- journal article | 2017
- PhenoCurve: Capturing dynamic phenotype-environment relationships using phenomics data
- Bioinformatics
-
- journal article | 2016
- Extending Gene Ontology with gene association networks
- Bioinformatics
-
- journal article | 2016
- Inter-functional analysis of high-throughput phenotype data by nonparametric clustering and its application in photosynthesis
- Bioinformatics
-
- journal article | 2015
- Plant photosynthesis phenomics data quality control
- Bioinformatics