报告题目：Bioinformatics Approaches for Integrative Analysis of Genomic and Epigenomic Data
报告人：Shi, Xinghua(Mindy)
报告人链接：http://shilab.uncc.edu/people/shi-xinghuamindy
时间：2015年7月17日(周五）13:00-14:00
地点：徐汇中心小白楼2楼214会议室
报告人简介
Shi, Xinghua(Mindy)
Principle Investigator
Xinghua Mindy Shi, Ph.D.
Assistant Professor (short biography, Google Scholar citations)
Bioinformatics 271
Department of Bioinformatics and Genomics
College of Computing and Informatics
University of North Carolina at Charlotte
9201 University City Blvd., Charlotte, NC 28223
Email: x.shi@uncc.edu
Phone: 704 687 8437
Website: http://webpages.uncc.edu/~xshi3/
Biography
Xinghua (Mindy) Shi is an assistant professor in the Department of Bioinformatics and Genomics, College of Computing and Informatics, University of North Carolina at Charlotte. Before joining UNC Charlotte, she was a postdoctoral research fellow at Brigham and Women’s Hospital and Harvard Medical School, a NIH T32 medical genetics training fellow at Harvard Medical School, a visiting research fellow in the Medical and Population Genetics program at Broad Institute, and an associate in the Quantitative Genetics Program at Harvard School of Public Health. She has received her Ph.D. and M.S. degrees in Computer Science from the University of Chicago, and M.Eng and B. Eng degrees in Computer Science from Beijing Institute of Technology, China. She is a recipient of the Wells Fargo Foundation Fund for Faculty Excellence from Charlotte Research Institute in 2013, and a recipient of the Faculty Research Grant from the University of North Carolina at Charlotte during 2014-1015. Her research interest is in computational systems biology, particularly, the design and development of tools and algorithms to solve large-scale computational problems in biology and biomedical research. She is currently focused on integrating genetic and epigenetic datasets to study how genetic architecture affects biological processes and complex phenotypes at the systems level. She is also interested in complex network analysis, genetic privacy, and big data analytics in biomedical research.
Education
• Ph.D., M.S. in Computer Science, University of Chicago, Chicago, IL.
• M.Eng., B.Eng. in Computer Science, Beijing Institute of Technology, Beijing, China.
Professional Services:
• Proceedings Co-Chair, Program Committee Member: The 5th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM BCB 2014).
• Program Committee Member: The 10th International Symposium on Bioinformatics Research and Applications (ISBRA 2014).
• Program Committee Member: IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2014).
• Program Committee Member: The 4th IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS 2014).
• Program Committee Member: The 8th International Conference on Systems Biology and the 4th Translational Bioinformatics Conference (ISB/TBC 2014).
• Review Editor of Bioinformatics and Computational Biology, a specialty section of Frontiers in Bioengineering and Biotechnology and Frontiers in Genetics.
Research Areas
• Genetic Variation (e.g. Structural Variation)
• Quantitative Trait Loci (QTL) Mapping
• Genetic Privacy and Security
• Complex Network Analysis
• Machine Learning
• Mathematical Modeling
• Big Data in Bioinformatics
• Genome Wide Association Studies
