Jianzhong Su Ph.D., Professor, Director of Institute of Biomedical Big Data, Wenzhou Medical University, PI at Wenzhou Institute in University of Chinese Academy of Sciences. Grants from the Outstanding Youth Fund of Zhejiang Province, National Natural Science General Project, National Natural Science Major Fund Sub-projects and other scientific research projects. PhD degree from the Department of Mathematics of Harbin Institute of Technology. Major in the research of genetic and epigenetic data mining of complex diseases, identification of molecular markers in liquid biopsy, single-cell big data mining and intelligent algorithms development. He has developed 10 computational algorithms and databases, and published >40 peer-reviewed papers (with a cumulative impact factor > 300), including 12 senior-author papers in international high-level journals such as Nature Genetics, Blood, Nature Communications, Genome Biology, Nucleic Acids Research and PNAS. H index:23. Served as a fellow of Bioinformatics Society of Zhejiang Province, a committee member of the Chinese Anti-Cancer Association Tumor Marker Professional Committee, and a member of the CCF Bioinformatics Committee.

1. 02/2018 – present        Director, Professor, Institute of Biomedical Big Data, Wenzhou Medical University, Wenzhou, China
2. 02/2018 – present        Principal Investigator, Professor, Wenzhou Institute, University of Chinese Academy of Sciences (UCAS), Wenzhou, China
3. 02/2014 – 02/2018     Postdoctoral Research Fellow, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX
4. 08/2013 – 02/2014     Assistant Professor, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
5. 08/2009 – 07/2013    Lecturer, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
6. 07/2007 – 07/2009    Teaching Assistant, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China

(*Co-first Authors, #Co-corresponding Authors)

1. Yu F^*, Li K^*, Li S^*, Liu J,  Zhang Y,  Zhou M,  Zhao H, Chen H, Wu N, Liu Z^#, Su J^#: CFEA: a cell-free epigenome atlas in human diseases. Nucleic Acids Research 2020, Nucleic acids research 48 (D1), D40-D44. (Chinese Academy of Sciences Ranking Q1, IF = 11.6)
2. Zhang X^*#, Wang X^*, Wang X, Su J^#, Putluri N, Zhou T, Qu Y, Jeong M, Guzman A, Rosas C, Huang Y, Sreekumar A, Li W, Goodell MA: Dnmt3a loss and Idh2 neomorphic mutations mutually potentiate malignant hematopoiesis. Blood 2020, 135 (11): 845–856. (Chinese Academy of Sciences Ranking Q1, IF = 16.56, Cover of Journal)
3. Zhou M^*, Zhao H^*, Wang X, Sun J#, Su J^#: Analysis of long noncoding RNAs highlights region-specific altered expression patterns and diagnostic roles in Alzheimer’s disease. Briefings in Bioinformatics 2019, 20(2): 598-608. (Chinese Academy of Sciences Ranking Q1, IF = 9.1)
4. Bao S^*, Zhao H, Yuan J, Fan D, Zhang Z, Su J^#, Zhou M^#. Computational identification of mutator-derived lncRNA signatures of genome instability for improving the clinical outcome of cancers: a case study in breast cancer. Briefings in Bioinformatics 2019, DOI: 10.1093/bib/bbz118. (Chinese Academy of Sciences Ranking Q1, IF = 9.1)
5. Su J^*#, Huang Y^*, Cui X, Zhang X, Wang X, Xin Y, Lin Xue, Chen K, Lv J, Xu J, Goodell MA^# and Li W#: Homebox oncogene activation by pan-cancer DNA hypermethylation. Genome Biology 2018, 19:108. (Chinese Academy of Sciences Ranking Q1, IF = 13.2)
6. Huang Y^*, Su J^*, Lei Y, Brunetti L, Gundry MC, Zhang X, Jeong M, Li W#, Goodell MA#: DNA epigenome editing using CRISPR-Cas SunTag-directed DNMT3A. Genome Biology 18 (2017) 176. (Chinese Academy of Sciences Ranking Q1, IF = 13.2)
7. Lei Y^*, Zhang X^*, Su J^*, Jeong M, Gundry MC, Huang YH, Zhou Y, Li W#, Goodell MA#: Targeted DNA methylation in vivo using an engineered dCas9-MQ1 fusion protein. Nature Communications 8 (2017) 16026. (Chinese Academy of Sciences Ranking Q1, IF = 12.3)
8. Zhang X^*, Su J^* , Jeong M^*, Ko M, Huang Y, Park HJ, Guzman A, Lei Y, Huang YH, Rao A, Li W#, Goodell MA^#: DNMT3A and TET2 compete and cooperate to repress lineage-specific transcription factors in hematopoietic stem cells. Nature Genetics (2016) 48(9): 1014–1023. (Chinese Academy of Sciences Ranking Q1, IF = 27.1)
9. Su J^*, Yan H^*, Wei Y, Liu H, Wang F, Lv J, Wu Q#, Zhang Y#: CpG_MPs: identification of CpG methylation patterns of genomic regions from high-throughput bisulfite sequencing data. Nucleic Acids Research 2013, 41(1):e4. (Chinese Academy of Sciences Ranking Q1, IF = 11.6)
10. Su J^*, Zhang Y^*#, Lv J^*, Liu H, Tang X, Wang F, Qi Y, Feng Y, Li X#: CpG_MI: a novel approach for identifying functional CpG islands in mammalian genomes. Nucleic Acids Research 2010, 38(1):e6. (Chinese Academy of Sciences Ranking Q1, IF = 11.6)