About

I completed her B.S. from the University of Texas at Austin and her PhD from Johns Hopkins University in the laboratories of Michela Gallagher and Arnold Bakker (School of Medicine). My postdoctoral training was under the direction of Anthony Wagner and Elizabeth Mormino (School of Medicine) at Stanford.

My research program is broadly studying the mechanisms that underlie memory variability across the lifespan, with a particular interest in real-world contributors to memory (e.g., spatial context, stress, attention). I’m broadly interested in exploring how spatial representations and episodic memory are intertwined and guide memory encoding and retrieval contribute to memory variability and decline across the lifespan. To this end, the lab uses a combination of tools to examine and investigate memory, including functional and structural neuroimaging, web-based behavioral studies, desktop and immersive virtual reality.

I am accepting applications for PhD students, master’s students and research coordinators for this upcoming cycle. See the lab website here.

About

Dr. Jasmine Hope is an Academic Professional in the Undergraduate Neuroscience Program. She has an extensive background in a range of Neuroscience research topics including nonhuman primate cognition, neurological diseases, and neuro-rehabilitation. During her Postdoctoral Fellowship at Emory University, she co-instructed Neuroanatomy labs for medical, graduate, and physical therapy students. She was also the instructor of record for the Undergraduate Research course for the Neuroscience and Behavioral Biology Majors. As an Emory FIRST (Fellowship in Research and Scientific Training) fellow, she taught Psychology courses at Spelman College. Outside of teaching, Dr.Hope has a successful record of community leadership and civic engagement in the City of Atlanta. 

About

I am a quantitative methodologist. My research program develops statistical and computational models and leverages technology-based tools to enhance the estimation, classification, prediction, and assessment of phenomenon in psychological, brain, biomedical, and health-related research.

My research particularly focuses on advancing 1) the methodological aspects of statistical modeling in Bayesian statistics, network science, and longitudinal models to address the challenges posed by high-dimensional, heterogeneous, and time-varying data structures, such as from brain imaging outputs (e.g., MRI, EEG) and multi-sensor wearable streams, 2) the assessment aspects of passive sensing and digital phenotyping, particularly for studying interindividual changes and interindividual differences in affect, behavior, cognition, and their interactions within the context of social, psychological, and environmental factors, and 3) digital tools for ecological momentary assessment and wearable sensors that capture real-time, high-density data input to design personalized, adaptive intervention systems and deliver context-aware and dynamically updated support for individuals.

My work has been funded by agencies including National Science Foundation, National Institutes of Health, Federal Aviation Administration, and Department of Homeland Security. I was the recipient of the APS Rising Star Award from the Association for Psychological Science, the SAS Institute Advanced Statistical Fellowship, and the Citation Abstract Award from the Society of Behavioral Medicine. I currently serve on the editorial boards of Multivariate Behavioral Research and Applied Developmental Sciences, Research Methods Section. My work can be found on the Google Scholar page.

About

My methodological research program focuses in two areas: multilevel modeling and computerized adaptive testing, both of which aim to solve methodological dilemmas encountered by applied researchers in the field of psychology as well as more generally in the social and behavioral sciences. Specifically, my multilevel modeling research examines the impacts of different models and approaches for handling complex non-hierarchical data structures where individuals do not remain in their sampled clustering unit over time or when there are two (or more) higher-level units of individuals but the clustering units themselves are not nested within one another. These types of complex multilevel data structures, commonly referred to as cross-classified or multiple membership, arise often in social and behavioral sciences research. My computerized adaptive testing research compares novel and commonly used stopping rules and item exposure control procedures through simulation studies. The use of computerized adaptive testing can generally lessen test length while increasing measurement precision depending on choices made in the different components of the test, such as the item pool, item selection procedure, trait estimation method, and stopping criteria.  

Along with my own independent research program, I also engage in research collaborations with colleagues interested in applying quantitative methods. Many of these collaborations have been federally funded research grants from the National Science Foundation, Institute of Education Sciences, and Department of Health and Human Services. 

For more details on my research, visit my Google Scholar page.

About

I study how the human brain adaptively represents a constantly changing sensory world.

My research asks:

• How does the brain encode sensory information?
• How does perception change with development, sensory loss, and brain disorders?
• What anatomical, functional, and computational principles govern brain plasticity?
To answer these questions, I combine behavioral experiments, computational modeling, and multimodal neuroimaging.

About

After graduating from undergrad, I worked as a social worker for several years as a reunification specialist with families of children in foster care. I then completed my graduate work with Dr. Kim L. Huhman at Georgia State University studying the genetic and epigenetic mechanisms of long-term behavioral changes after exposure to acute social stress. My postdoctoral training was under the direction of Dr. Elliott Albers at the Center for Behavioral Neuroscience and Dr. Serena Dudek at the NIH/NIEHS where I continued to investigate molecular mechanisms of stress-induced behavior. Before joining the faculty at Georgia Tech, I was an Assistant Professor in the Department of Human Genetics at Emory University School of Medicine investigating genetic and molecular mechanisms underlying addiction-related behavior and behavioral changes in models of neurodegeneration.