Xiaodong Cai

Professor

Phone:
(305) 284-5329
Locator Code:
0640

 
About

Dr. Xiaodong Cai is professor in the Depratment of Electrical and Computer Engineering at the Univeristy of Miami. He received the BS degree from Zhejiang University, China, the M.Eng. degree from the National University of Singapore, Singapore, and the PhD degree from the New Jersey Institute of Technology, Newark, in 2001, all in electrical engineering. He also received the M.S. degree in biological science from the University of Minnesota, Minneanolis, in 2008.,

Dr. Cai was a Member of Technical Staff at Lucent Technologies, NJ, from February 2001 to June 2001, a Senior System Engineer at Sony technology center, San Diego, CA, from July 2001 to October 2001, and a Postdoctoral Research Associate in the Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, from November 2001 to July 2004. Since August 2004, he has been with the Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, first as an assistant professor and then as an associate professor.

Career

Education

2009M.S. Biological Science University of Minnesota
2001Ph.D. Electrical Engineering New Jersey Institute of Technology
1998M.S. Electrical Engineering National University of Singapore
1989B.S. Electrical Engineering Zhejiang University

Professional Experience

2015 - Professor, University of Miami
2010 - 2015Associate Professor, University of Miami
2011 - 2011Visiting Associate Professor, University of Minnesota
2004 - 2010Assistant Professor, University of Miami
2001 - 2004Postdoctoral Fellow, University of Minnesota
2001 - 2001Senior System Engineer, Sony Technology Center
2001 - 2001Member of Technical Staff, Lucent Technologies
Research

Research Interests

Develop machine learning algorithms and computer programs to analyze (big) data in cancer genomics, particularly those related to DNA sequences, gene expression, alternative splicing, and DNA methylation; Design and analyze mathematical models for gene regulatory networks for identifying cancer driver; Develop computational method for chemical genomics to discover drug targets for cancer therapy