Data Mining and Modeling in Cancer Research


Event Details
Friday, February 6, 2015
Talk:
4:00 p.m., Avery 115

Reception:
3:30 p.m., Avery 348

Juan Chi, Ph.D.

Assistant Professor, University of Nebraska-Lincoln (CSE)

Abstract

Technological advances in different “omic” techniques have led to the rapid accumulation of large amounts of complex biological data on different human diseases. Such data has presented unprecedented opportunities as well as challenges to computational biologists to study disease like cancer from fundamentally novel perspectives, allowing us to examine cancer in a more holistic and systems view. In this talk, I will present three major research topics we are focused on, including developments of (i) a data mining framework for cancer biomarker discovery (ii) a DNA sequencing data analysis pipeline and a cancer genome evolution model, and (iii) a network inference model to decipher metabolic pathways in cancer in response to various microenviromental changes. In order to promote collaborations with our CSE faculties in the area of the computational biology and bioinformatics, my presentation will mainly focus on how we can tackle the biological problems using computational approaches, particularly about how to apply CS theory and techniques to address each biological question and what major computational challenges remain in each area. Various computational techniques involving data mining, machine learning and modeling will be discussed.

Speaker Bio

Dr. Juan Cui has been an assistant professor at Department of Computer Science and Engineering since 2013. Before joining the Univerity of Nebraska–Lincoln, she was a research scientist at the Biochemistry department of University of Georgia where she also started postdoctoral training at Dr. Ying Xu’s computational system biology lab since 2007. Her research interests include biomedical informatics and computational system biology, specifically focusing on cancer genomics, proteomics, metabolomics and utilizing computational prediction and modeling to address important questions related to cancer diagnosis and mechanism studies. She has published over 35 scientific articles and two book chapters in the field of bioinformatics, computational biology, and immunology and cancer research, plus two US patents in cancer diagnostic biomarkers discovery. As a computational biologist, she has been collaborating extensively with medical doctors and experimental researchers. She is currently holding courtesy assistant professor appointments at the biological science department at the University of Nebraska–Lincoln and the biochemistry department at UNMC. She has also been actively involved in professional services including serving as members of editorial boards of bioinformatics journals and program committees of international bioinformatics conferences, and chairing cancer informatics workshops.