[2017-07-07] Prof. Xiaoning Qian, Texas A&M University, “Lost in Data – Finding the Way Out”


Title: Lost in Data – Finding the Way Out

Date: 2017-07-07 9:30am-11:00am

Location: R210, CSIE

Speaker: Prof. Xiaoning Qian, Texas A&M University

Hosted by: Prof. Yung-Yu Chuang


The advances in high-throughput profiling and ubiquitous sensor techniques have shifted the paradigm of many research fields with the unprecedented capability in data collection.  With the availability of diverse types of “big” data as well as the recent successes of “deep” learning in artificial intelligence applications, data-driven research has been believed by many to make new breakthroughs in advancing sciences and maximizing health and economy outcomes.  On the other hand, since the Human Genome Project started from the last century, the main concern of omics-data-driven research as an alternative to traditional hypothesis-driven research in biomedicine has been the reproducibility of the scientific findings for the past twenty years.  In addition to many practical big-data analytic challenges, there still lacks rigorous theoretical guidelines to translate “big” data into reproducible scientific knowledge, especially when studying complex systems, such as life and disease.  I will share my personal journey of finding my way out of the misty biomedical data for the past five years.  With a brief overview of the recent and ongoing projects with my students, I would like to present my “personalized” practical way to derive generalizable information from biomedical data, and share my current understanding of theoretical, modeling, and analytic challenges in learning complex systems.


Xiaoning Qian is an Assistant Professor with the Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX, USA. He is affiliated with the Center for Bioinformatics and Genomic Systems Engineering and the Center for Translational Environmental Health Research at Texas A&M. He received the Ph.D. degree in electrical engineering from Yale University, New Haven, CT, USA and B.S. degrees in Electronic Engineering and Economics from Shanghai Jiao-Tong University, China. His recent honors include the National Science Foundation CAREER Award, the Texas A&M Engineering Experiment Station (TEES) Selected Young Faculty Fellow, and the Montague-Center for Teaching Excellence Scholar at Texas A&M University. His research interests include computational network biology, genomic signal processing, and biomedical signal and image analysis. His recent work on computational network biology has received the Best Paper Award at the 11th Asia Pacific Bioinformatics Conference in 2013 and the Best Paper Award in the International Conference on Intelligent Biology and Medicine in 2016.

最後修改時間:2017-06-19 AM 10:41

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