Current Fellows

Brittney DickeyBrittney Dickey, PhD
PhD, Epidemiology
University of Nebraska Medical Center
Omaha, Nebraska, United States
Mentor: Anna Giuliano, PhD

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Project Details:

Dr. Dickey’s work focuses on the intersection between infectious agents and cancer. She is working on multiple projects pertaining to screening and risks for HPV-associated cancers such as cervical, anal, and oropharyngeal cancers, and how they may differ among those infected with HIV. Other projects include investigating disparities in risk and survival among all cancer types experienced by HIV-infected patients compared to their HIV-uninfected counterparts.


Monica ReyesMonica Reyes, PhD
PhD, Cancer Biology                     
The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences
Mentor: Matthew Schabath, PhD

Bibliography:

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Project Details:

The central focus of Dr. Reyes’s research is to develop risk models across the cancer care continuum for clinical decision support. She is currently utilizing machine learning approaches to identify germline genetic variants and exposures to discriminate between lung cancer patients and healthy control subjects among never smokers. The long-term goal of this research is to identify never smokers at greatest risk for lung cancer that perhaps can benefit from entering a lung cancer screening program. In a separate study, Dr. Reyes is using baseline and prospective data from the National Lung Screening Trial to identify subsets of individuals that are more likely to change their smoking behavior based on their CT-screening results.  The long-term goal of this research is to inform smoking cessation interventions by identifying individuals who may be susceptible to reinitiating smoking or are unlikely to quit smoking.  Another area of her research includes identifying biomarkers that predict treatment response and recurrence among patients diagnosed with serous ovarian cancer.  The long-term goal of this research is to provide clinical decision support to oncologists by identifying patients that are at high-risk for poor survival and recurrence.