UR-Linked

Faculty Last Name  Filtered by S  6

Safi,Roozmehr Business Administration  Business General  Business Management  Bus Admin Fin Strg & Inf Mgmt  Bus Admin Org Ldrsh & Mktg   I research diverse topics related to business and technology. I am currently working on interesting projects about Information Security and Privacy, Big Data Analytics, and Decision Making. In my research I use psychology and economic experiments, business analytics techniques (such as data mining and text mining), and neuro-techniques (such as fMRI brain imaging).
Sawkin,Mark Pharmacy Practice   Scholarly interests include HIV, public health, antiretroviral treatment adherence, inter-professional education and the scholarship of teaching.
Simmer-Beck,Melanie Dent Public Health & Behav Sci   Melanie Simmer-Beck, PhD, RDH, is a full-time professor and has been teaching continuously since 2004. She holds joint appointments in the departments of Dental Public Health and Behavioral Science and Oral and Craniofacial Sciences. Dr. Simmer-Beck uses her interdisciplinary background in Oral and Craniofacial Sciences, Public Affairs & Administration, and Dental Hygiene to teach courses in Ethics & Professionalism and Evidence-Based Decision Making, in addition to directing the dental pipeline program, STAHR Scholars Dentistry. Her research focuses on implementation science, program evaluation, access to oral health care, oral health disparities, dental workforce models and policy, and ergonomics. She has been the recipient of federal funds to move forward her research agenda. Dr. Simmer-Beck’s research has been presented at national and international professional meetings and published in peer-reviewed journals
Simon,Stephen Biomedical/Health Informatics   I am interested in research about the research process. One application is the use of Bayesian Statistics to monitor the patient accrual process during a prospective clinical trial. Many trials fall behind in patient accrual, leading to major delays in completing the research and/or serious shortfalls in proposed sample size. The Bayesian model helps researchers predict trial completion more accurately by forcing them to describe their prior beliefs about the patient accrual process. The model also allows a researcher to monitor patient accrual during the trial, allowing early adjustments to the research if patient accrual is much slower than expected. I'm also interested in auditing the existing research record to look for general trends and patterns in how research is conducted and reported. How often, for example, do research reports still rely on methodologies like post hoc power calculations that have been discredited in the research community? How often does IRB approved research fail to follow the proposed research protocol and how often is the research left unpublished?
Spletter,Maria Biology - General  Cell Biology & Biophysics  Molecular Biology&Biochemistry   Animals have many different types of muscles that differ in their morphologies and contractile abilities. During development, muscle cells regulate gene expression and alternative splicing to fine-tune their contractile ability, and defects in this process lead to muscle disease. My lab is interested in understanding how RNA binding proteins, which regulate RNA processing, contribute to muscle-type specific development and function. We investigate this question in the powerful genetic model organism Drosophila melanogaster, the fruit fly, which shares muscle structural components as well as the mechanism of contraction with vertebrate muscle. Flies use a special type of muscle, the flight muscles, to power flight. We focus on RNA regulation in these muscles, as they are easy to image and dissect, they are not essential so we can study muscles in mutant flies, and we are able to track RNA binding protein function from the molecular level to the cellular phenotype to the impact on behavioral performance. We employ a variety of techniques, including classic genetics, live imaging, confocal microscopy and immunohistochemistry, bioinformatics, mRNA-Seq, mass spectrometry, molecular biology and protein biochemistry.
Sun,Fengpeng Environmental Studies  Geosciences   Dr. Fengpeng Sun is a climate scientist with particular expertise in investigating climate variability and climate change. Dr. Sun develops high-resolution regional climate models and statistical analysis tools to study the Earth’s climate. He is interested in assessing historical climate evolution and projecting future climate change and impacts from a regional/local perspective, which is most relevant to human activities. Research Interests: Regional Climate Variability and Change, Climate Modeling and Downscaling, Climate Change Impacts and Mitigation, Urban Climate and Environment, Weather/Climate Extremes