July 29, 2021
Ram Raghavan
I am broadly interested in spatially-enabled computational epidemiology of vector-borne and infectious diseases and applications of geospatial approaches for enhancing animal/public health. I extensively use Geographic Information System (GIS) and remote-sensing concepts in my research alongside geo-statistical, correlative modeling, and Bayesian approaches for understanding spatio-temporal dynamics of non-stationary epidemiological processes. Our current and prior research has identified important spatio-temporal patterns and spatial determinants for vector/water-borne zoonotic diseases from climatic, environmental, and socio-economic themes. Increasingly, my research strives to identify consistencies in complex meteorological variable associations with vector-borne diseases through the utilization of high-resolution ground-based and NASA Earth Observing System (EOS)…
July 29, 2021
Wes Warren
Warren spent his first career years at Monsanto and then felt the need to return to Academia. At Monsanto most of his research was in molecular biology. He also continues to collaborate with the St. Louis Zoo on the unknown causes of high incidences of pyometra urinary in African Painted Dogs. Warren has published over 130 research articles. The number will only grow as he continues and begins his many collaborative research projects and new research at Bond LSC
July 28, 2021
Noel Aloysius
Hydroclimatology with emphasis on modeling at watershed to regional scale; water and food security assessment; coupled human-natural systems; environmental change; land and water management in agriculture; remote-sensing for natural resource management; regions of interest: North America, Central Africa and South Asia.
March 17, 2021
Xing Song
My research interests are in biomedical informatics, machine learning and statistical learning algorithms, data mining and knowledge discovery. My long-term research goal is to use novel computational algorithms to discover clinically meaningful knowledge from integrated healthcare databases and apply that knowledge to understand and improve population health. I joined University of Kansas Medical Center in September 2017 for postdoctoral training in medical informatics, where I developed various machine learning models for predicting chronic kidney disease onset in the diabetic population from electronic medical records (EMRs) and a robust risk factor identification framework based on EMRs and external registries. As a…
Oct. 23, 2020
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…
Oct. 20, 2020
Iris Zachary
Iris Zachary is an Associate Research Professor with a focus on cancer informatics. She received her M.S. and Ph.D. degrees in Informatics at the University of Missouri. She has collaborated with nationally recognized leaders in cancer research and has presented her research at regional, national and international meetings of, among others, the International Agency for Research on Cancer (IARC), the National Association of Central Cancer Registries (NAACCR), the World Cancer Congress (WCC), the American Medical Informatics Association (AMIA) and the American Public Health Association (APHA). Dr. Zachary’s cancer informatics research extends precision cancer surveillance, cancer informatics, and public health informatics.
Oct. 14, 2020
Jussuf T. Kaifi
As a surgeon scientist, Chief of the Division for Cardiothoracic Surgery and co-Director for Clinical Trials at Ellis Fischel Cancer Center at the University of Missouri, my overarching goal is to translate basic science discovery into improved clinical care for patients suffering from lung cancer. I have spent my career studying solid cancers using cancer mouse models and liquid biomarkers. My efforts in this field of translational cancer research have resulted in >125 peer-reviewed publications. I initiated investigator-initiated observational clinical trials involving biospecimens at the University of Missouri (NCT02838836) and the Truman VA (NCT03551951) that led to several recent publications…
May 22, 2020
Zezong Gu
Research in the Zezong Gu laboratory focuses on the studies of traumatic brain injury (TBI) and cerebral ischemia. This includes associated aging-related neurodegenerative diseases in animal models for mechanistic and translational investigations in aiding for the development of biomarkers, preventive and therapeutic strategies. The Gu laboratory uses multi‐disciplinary approaches and paradigms to conduct translational research. The Gu laboratory toolbox includes cell‐free protein interaction, primary neuron cultures including biofidelic 3D cultures, and in vivo rodent models of neurodegenerative diseases, as well as neurobehavioral assessment, digital pathology and quantitative proteomic analyses and bioinformatics. Ultimately, the endeavor of Dr. Gu’s studies supported with…
May 4, 2020
Praveen Rao
Dr. Praveen Rao is a tenured associate professor in the Department of Electrical Engineering & Computer Science at the University of Missouri (MU). His research interests are in the areas of big data management, data science, health informatics, and cybersecurity. He directs the Scalable Data Science (SDS) Lab at MU. His research, teaching, and outreach activities have been supported by the National Science Foundation (NSF), the National Endowment for the Humanities (NEH), the National Institutes of Health (NIH), Centers for Disease Control and Prevention (CDC), Air Force Research Lab (AFRL), the University of Missouri System (Tier 1 grant, Tier 3…