Novel Computational and Mathematical Approaches to Genomics Data Analysis – Statistics and Big Data Seminar Series
Arkansas State University, Computer Science
Friday October 9, 2015 – 2:00 CBLS 10
Novel Computational and Mathematical Approaches to Genomics Data Analysis
ABSTRACT: Professor Huang will discuss her recent work on novel computational and mathematical approaches that aim to address computationally demanding tasks in genomics data analysis, related to research areas such as cancer molecular study, plant stress, plant bioproduction etc. The talk will emphasize the novelty of the techniques and approaches, such as graph and optimization models for clustering and assembly, as well as the importance of understanding the underlying biology, the complex biological and biomedical processes and challenges.
Dr. Xiuzhen Huang is currently a Professor in the Department of Computer Science at Arkansas State University. Her research in bioinformatics focuses on effective modeling of biological and biomedical challenges, non-trivial computational approaches, and efficient graph algorithm and parameterized algorithm design and development. She is supervising PhD students from both computation and molecular biology. Dr. Huang received the BS and MS degrees in computer science from Shandong University, and the PhD degree in computer science from Texas A&M University in 2004.
Please share with others who you think might be interested in this talk. Xiuzhen will also join us in the No-Boundary class at 4:00 in Pharmacy 105. As always you are welcome to join the class.