Dec. 28, 2016
Trupti Joshi
Dr. Trupti Joshi is an Associate Professor in the Department of Biomedical Informatics, Biostatistics and Medical Epidemiology (BBME) in the School of Medicine (SOM), with a joint appointment with Department of Plant Sciences and Technology (DPST) at University of Missouri-Columbia (MU). She also has Core Faculty appointments with MU Data Science and Informatics Institute (MUIDSI), Interdisciplinary Plant Group (IPG), Christopher S. Bond Life Science Center (LSC), and Department of Electrical Engineering and Computer Science (EECS). Dr. Joshi served as Director of Translation Bioinformatics with School of Medicine from 2015-2020 and currently serves as a Faculty Lead for Translational Bioinformatics for…
Dec. 28, 2016
Joi Moore
Dr. Moore received her B.S. degree in Computer Science and M.S. degree in Management from North Carolina State University, both focusing on a minor in Management Information Systems. After teaching for two years in the Department of Computer Information Systems at Shaw University, Dr. Moore turned her attention to earning her Ph.D. in Instructional Technology from the University of Georgia with a cognate area of Management Information Systems. Her current research agenda is the application of appropriate design principles for computer-based environments that support learning and/or effectively improve a desired performance. She has served as President of the Training and…
Dec. 28, 2016
Eduardo Simoes
My research and teaching interests include: use of health management and informatics to improve planning, policy development, management and evaluation of health care, public health programs and global health initiatives. Use information technology to address surveillance of preventable diseases and their complications in order to tailor health programs and activities. Health care service and outcome research. Teaching of epidemiology, preventive medicine and public health applications of information technology.
Dec. 28, 2016
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…
Dec. 28, 2016
Shi-Jie Chen
The current experiments on structural determination for RNA molecules cannot keep up the pace with the steadily emerging RNA sequences and new functions. This underscores the request for an accurate model for RNA three-dimensional (3D) structural prediction. Although considerable progress has been made in mechanistic studies, accurate prediction for RNA tertiary folding from sequence remains an unsolved problem. The first and most important requirement for predicting of RNA structure from physical principles is an accurate free energy model. Based on rigorous physical principles, Chen’s lab is developing computational models to predict 3D tertiary structures, energy landscapes, and kinetic mechanisms for…
Dec. 28, 2016
Min Soon Kim
Dr. Min Soon Kim is an Assistant Professor at the Department of Health Management and Informatics at the University of Missouri at Columbia. He received his M.S. and Ph.D. degrees in Biomedical Engineering at the University of Texas at Austin. Dr. Kim had excellent research opportunities in collaboration with interdisciplinary researchers in a range of areas within biomedical informatics, including health information technology evaluation, public health informatics and clinical research informatics. Prior to joining to HMI, he has served as a research fellow at the Center for Biomedical Informatics, Mount Sinai School of Medicine, NYC, NY. Prior to postdoctoral experience,…
Dec. 28, 2016
Timothy Matisziw
Dr. Tim Matisziw is an Associate Professor at University of Missouri-Columbia (MU) with a joint appointment in the Department of Geography, Department of Civil & Environmental Engineering, and MU Institute for Data Science and Informatics. He is also the Director of the United States Geospatial Intelligence Foundation (USGIF) accredited Geospatial Intelligence Certificate program (graduate and undergraduate) at MU. He regularly teaches courses in geographic information systems (GIS), transportation geography, location analysis and site selection, and the geospatial sciences in national security. His primary areas of interest and expertise include transportation systems, spatial optimization, geographic information, and spatial decision support systems. Dr.
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…