Dec. 28, 2016

Suzanne Boren

Dr. Boren’s research focuses on two themes 1) Consumer Health Informatics, and 2) Health Administration and Health Informatics Education. Through her research, Dr. Boren investigates how informatics can be used to improve patient outcomes and student learning outcomes. Dr. Boren has co-authored more than 90 articles. These publications provide valuable information on decision support technologies, telemedicine, E-health / mobile health, management of chronic illness, and education. Two of Dr. Boren’s articles have been recognized by the Yearbook of the International Medical Informatics Association as among the best biomedical informatics studies. Dr. Boren has a history of service. Dr. Boren directs…

Dec. 28, 2016

Mihail Popescu

Mihail Popescu has received a MS in Medical Physics in 1995, a MS in Electrical Engineering in 1997 and a PhD in Computer Science in 2003 from the University of Missouri, Columbia, Missouri. Dr. Popescu has published seven articles in refereed journals, 20 conference papers, one book, and one book chapter. His research focus has been on eldercare technologies, medical decision making, and epigenetic pattern discovery.

Dec. 28, 2016

Satish Nair

Dr. Nair’s career commitment has been mathematical analysis & design of complex systems for a variety of applications including control, using both computational modeling and experimental techniques. His interests during the past eight years have been in the area of computational neuroscience, at the molecular, cellular, network, and behavioral levels. He has developed two new graduate courses (Theoretical Neuroscience I and II) that focus on intra- and inter-cellular neuronal modeling, and include usage of NEURON and GENESIS packages. Seeded by an NSF CCLI grant, he and biology colleagues Schulz and Schul, designed and have been team-teaching once a year, an…

Dec. 28, 2016

Xiaoqin Zou

The molecular interactions that drive ligand-protein binding are a key to quantitatively understanding the basis of molecular recognition and to designing therapeutic interventions through rational drug design. Drug molecules usually act by binding to specific target proteins. Drug candidates that have high binding affinities can be identified by their geometric and chemical complementarity to the target in a process analogous to solving a “jigsaw puzzle”, if the target structure is known. An energy model that can give rapid and accurate evaluation of the molecular interaction strength is thus essential for selecting plausible candidate compounds from a chemical database consisting of…

Dec. 28, 2016

Chi-Ren Shyu

Chi-Ren Shyu (he/him/his) is a Paul K. and Dianne Shumaker Professor in electrical engineering and computer science and serves as the director of the MU Institute for Data Science and Informatics, where 60 interdisciplinary core faculty from 22 departments/schools support more than 160 graduate students in the MS degree program in Data Science & Analytics and PhD degree program in Informatics with emphasis areas in bioinformatics, health informatics and geospatial informatics. Shyu has organized and chaired technical program committees for several IEEE conferences, such as IEEE HealthCom 2011 (Columbia, Missouri), IEEE BigMM 2016 (Taipei, Taiwan), IEEE BIBM 2017 (Kansas City,…

Dec. 28, 2016

Jianlin Cheng

Dr. Jianlin Cheng’s research is focused on bioinformatics, systems biology, machine learning and data mining. To date, his group has designed and developed a variety of cutting-edge computational methods for protein structure and function prediction, proteomics, genomics, biological network simulation, and general machine learning. His protein structure prediction methods were ranked among the best in the last three consecutive biannual Critical Assessment of Techniques for Protein Structure Prediction (CASP7, CASP8, and CASP9), from 2006 to 2010. The bioinformatics tools and web services produced by Dr. Cheng’s research are publicly available and used by life scientists from around the world.