Archive

Kate Trout

Large scale datasets collected by Information Technologies have continued to have an increasing role in nearly every sector of the economy over the past decade and will continue to do so in the next. Despite national goals of achieving interoperability of electronic health records (EHRs) and enhanced clinical decision making, health data remains fragmented. Dr. Trout’s research interest lies at the intersection of Public Health, Health Policy, and Health Informatics to develop novel, data-driven approaches to rural health issues. Dr. Trout is a health services researcher and epidemiologist with research focusing on the utilization of Health Information Technologies (HITs) such…

Cheryl Rosenfeld

Rosenfeld specializes in studying the effects of maternal diet on offspring, exploring how the in-utero environment can shape risks for later disease. Her research with mice has yielded majorbreakthroughs. She has determined that an energy-rich maternal diet will result in more male mouse pups, while a restricted-calorie diet produces daughtersmore frequently. She also established a relationship between a certain hair-coat color and obesity and diabetes in mice. Most recently, the Rosenfeld lab has identified spatial learning disabilities in male deer mice whose mothers consumed a diet supplemented with bisphenol A, (BPA), a known endocrine disruptor and a common pollutant. This…

James Keller

James M. Keller is a Curators Professor in the Electrical Engineering and Computer Science Department at the University of Missouri as well as R. L. Tatum Professor for the college. Keller’s research interests are in computational intelligence with current applications to eldercare technology, bioinformatics, geospatial intelligence and landmine detection.

Suchithra Rajendran

Dr. Suchithra Rajendran is an Assistant Professor with a joint appointment in the Department of Industrial and Manufacturing Systems Engineering and the Marketing department at the University of Missouri-Columbia. Prior to that, she served as a consultant for many private and public organizations on various collaborative projects. She holds a Bachelor’s degree in industrial engineering from College of Engineering, Guindy, Anna University in India. Her graduate degrees are from the Pennsylvania State University, where she received a M.S. and a Ph.D. in industrial engineering and operations research. Dr. Rajendran’s research interests include healthcare systems engineering, big data analytics, multiple criteria…

Peter Cornish

Research in our laboratory is primarily focused on understanding the complexities of ribosome function using a variety of biophysical methods including NMR and single molecule techniques. One of our projects is in understanding translational regulation in particular the mechanism of recoding where the ribosome shifts reading frame due to the presence of specific structures within the mRNA. Recoding has been observed in all forms of life and has been shown to be essential for the viability of many viruses including HIV-1 and SARS coronavirus. We are also contributing to the ongoing effort of developing antiviral small molecules that specifically target…

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…

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.