Featured Student: Walker Rogers

Walker Rogers took the path less-traveled to becoming an academic. Born and raised in Atlanta, Georgia, Walker took his time figuring out where he wanted his career to take him. He completed his Bachelors of Science in Biology at the University of Columbus, where he spent time in biochemical ecology research with ornithologists. After graduation, Walker stepped away from academia and worked as a waiter at the 3 Michelin star restaurant The Inn At Little ...

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Dr. Maes Awarded R01 from the National Institute on Drug Abuse (NIDA)

Dr. Maes was awarded R01 (DA063061) from the National Institute on Drug Abuse (NIDA) on June 30, 2025. This project, conducted with collaborators Dr. Naomi P. Friedman (University of Colorado Boulder), Dr. Pamela A. Madden (Washington University in St. Louis), and Drs. Monica Luciana and Sylia Wilson (University of Minnesota), examines vulnerability to substance use in adolescents. By integrating nationwide longitudinal samples with twin family data, the study will examine how internalizing and externalizing behaviors, reward sensitivity, ...

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Featured Student: Stephen Vieno

Dr. Stephen Vieno’s academic journey has spanned continents and disciplines and demonstrates a commitment to integrating medicine with data science. A native of Leesburg, Virginia, Stephen earned his medical degree — Bachelor of Medicine (MB), Bachelor of Surgery (BCh), and Bachelor of Obstetrics (BAO) — from the University of Galway in Ireland. There, he completed a pre-medical year followed by five years of medical training, with clinical rotations at University Hospital Galway and Sligo ...

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Featured Student: Philip Vinh

Philip Vinh is a fifth-year PhD candidate at VIPBG working in the lab of Dr. Michael Neale. He grew up in the town of Windsor, Connecticut and attended the University of Connecticut, where he earned degrees in Biology and Chemistry. Before joining the VCU Department of Human and Molecular Genetics in 2020, Philip conducted research in a chemistry lab studying environmentally friendly alternatives to common chemicals. As a project coordinator, he also ...

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Dr. Kaitlin Bountress and other MPIs awarded R34 through NIH/NIDA

Dr. Kaitlin Bountress, along with other MPIs Drs. Gretchen Neigh, Peter Hamilton, and Mathew Banks, were awarded a R34 through NIH/NIDA R34 (R34DA061267).
This project seeks to establish a multidisciplinary and functionally diverse team and generate preliminary data across-species (i.e., in rat, human data) in order to improve our understanding of behavioral biomarkers and genetic risk factors for neurocognitive behaviors related to substance use disorder risk. The ultimate goal of this line of work is to improve our ...

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VCU Researcher Awarded DOD Grant to Identify Genetic Risk Factors for Persistent Concussion Symptoms and PTSD

Dr. Christina Sheerin, along with other MPIs Dr. Amstadter and Dr. Disner (University of Minnesota) were awarded a 3-year Investigator Initiated grant through the Traumatic Brain Injury and Psychological Health Research Program of the Department of Defense (TP230074).

This project leverages a longitudinal registry study and biorepository of military service members and veterans and seeks to use novel genetic approaches to characterize the genetic architecture and functional consequences of genetic risk on persistent post concussive symptoms, PTSD, and AUD ...

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Dr. Amanda Elswick Gentry Awarded K01 From NIH NIAAA

Dr. Amanda Elswick Gentry, Ph.D. was awarded a K01 from the NIH NIAAA (K01AA031748). A five-year professional and research development award mentored by Dr. Ken Kendler, MD, this project will investigate the interacting genetic and environmental effects contributing to alcohol use disorders with co-morbid major depressive disorder.

This research leverages ten biobank-scale data collections and includes methodological aims for the development of machine learning innovations to predict missing and unmeasured alcohol-related outcomes, as well as specific focus on ...

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OpenMx Master Class – Nov. 14-16, 2024

The first OpenMx Master Class is aimed to improve the skills of individuals who are already familiar with Structural Equation Modeling (SEM) and want to improve their understanding and capability to specify and fit advanced SEMs. We will also cover the OpenMx philosophy and how it differs from other SEM programs in terms of fit functions, expectation functions, multiple groups, definition variables, constraints, confidence intervals, standard errors, bootstrapping, compute plans, and simulations.

To watch the presentations and download example scripts from ...

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