Christine Elsik

Christine Elsik’s research expertise is in computational biology and bioinformatics, and she works specifically in genome sequencing and annotation. She has worked extensively with genomes of cattle and a number of insect species. Chris will have a joint appointment between Animal and Plant Sciences and will be located in the Animal Science Research Center. She will have responsibilities in developing a collaborative research program in genomics, advising graduate students and teaching bioinformatics or computational biology.

Hong He

Issues of biodiversity, conservation, and ecosystem management increasingly need to be addressed at large spatial and temporal scales. Our research in landscape ecology puts ecological questions in such large spatial and temporal contexts. Our research in geographic information sciences explores new technical advances to help process and analyze large spatial data. We endeavor to advance the science and technology to solve regional planning, management, conservation, and restoration problems.

Lori Popejoy

My professional nursing career has spanned about 30 years. In my early practice I worked primarily in intensive care nursing. The majority of that time I was in mid-level management. During my mid-career, I worked primarily in the nursing home setting as a study coordinator for several large nursing home research projects. From there, I reentered the management role as the Director of Nursing for Sinclair Home Care, which was the practice site for a study about aging in place. My work experience, which has included hospitals, nursing homes, and home health, has great depth and has inspired me to…

Timothy Green

Dr. Green is an instructor responsible for the development and teaching of an online health data science and predictive analytics course, covering health ethics and regulations, and basic and advanced statistical methods for health data analysis.at MU Institute for Data Science and Informatics. He is also the Chief Data Scientist at EquipmentShare.com responsible for the development of a data science, predictive analytics, and business intelligence program for the leading heavy equipment industry telematics platform.

Jared Decker

Genomics provides us with an opportunity to tackle questions that previously we did not have adequate tools to address. I use genomic data in multiple ways, from improving genome assemblies, to identifying causal variants, to investigating the genetic history of species.

Prasad Calyam

Prasad Calyam is the Greg L. Gilliom Professor of Cybersecurity in the Department of Electrical Engineering and Computer Science at University of Missouri-Columbia, and Director of the Center for Cyber Education, Research and Infrastructure (Mizzou CERI). His research and development areas of interest include: Cloud Computing, Machine Learning, Artificial Intelligence, Cyber Security, and Advanced Cyberinfrastructure. He has published over 200 peer-reviewed papers in various conference and journal venues. As the Principal Investigator, he has successfully led teams of graduate, undergraduate and postdoctoral fellows in Federal, State, University and Industry sponsored R&D projects totaling over $39 Million. His research sponsors include:…

Trupti Joshi

Dr. Trupti Joshi is an Assistant 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…

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…

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,…