CV
A Link to the pdf version of my CV
Education
Temple University
Ph.D. Psychology & Neuroscience (2018–2023)
Advisor: Dr. David Smith
Dissertation: Making Decisions with Limited Information: Forming and Updating Ambiguous Beliefs
New York University
M.A. Psychology (2014–2016)
Advisor: Dr. Paul Glimcher
Honors Thesis: A Principal Components Analysis of Self-Report and Economic Measures of Risk Preferences and Impulsivity
Hawaii Pacific University
B.S. Psychology (2009–2013)
Research Advisors: Dr. Patricia Ellerson & Dr. Katherine Aumer
Honors Thesis: The Effect of Implicit and Explicit Self-Esteem on Cortisol Following a Stress Manipulation
Work Experience
University of Pennsylvania
**IDEA Data Analyst (Statistics and Probability), NJ Department of Education: Office of Fiscal and Data Services ** (2025–Present)
University of Pennsylvania
Postdoctoral Research Fellow, Department of Radiology (2023–2025)
Developing Bayesian and machine learning models to estimate oxygen metabolism and cerebral blood flow from MRI time-series data.
Lead algorithm development for signal processing, simulation, and validation of new MRI pulse sequences.
Temple University
Graduate Research Assistant, Neuroeconomics Lab (2018–2023)
Designed and implemented hierarchical Bayesian and drift-diffusion models of human decision-making under uncertainty.
Mentored students in computational modeling and Python-based analysis pipelines.
Teaching Assistant
Supported undergraduate courses including Neuroimaging: Image to Inference, Sensation and Perception, and Statistics in Psychology.
Rutgers University
Lab Manager & Research Assistant, Social & Affective Neuroscience Lab (2016–2018)
Managed large-scale behavioral and fMRI datasets; automated preprocessing and quality control workflows in Python and MATLAB.
Skills
Programming & Development
- Software Languages: Python, R, MATLAB, Bash, JavaScript
- Development tools: containers (Docker, Singularity), and version control (Git[hub/lab])
- Clound Computing: AWS
Statistics & Data Science
- Machine Learning: Support Vector Machines, Neural Nets, Decision Trees
- General Linear Modeling and Hypothesis testing: regression, ANOVA, etc
- Clustering and Dimensionality Reduction: PCA. Factor Analysis, K-Means, Mixture Models
- Databases and Query Languages: Oracle, MySQL, Polars
- Bayesian modeling: Hierarchical models, MCMC, causal inference,
- Libraries: PyMC, scikit-learn, NiLearn PyTorch, MLEr
Science and Communication
- Published Articles and Presentations
- Grant writing
Human Subjects Research
Publications
Botvinik-Nezer, R., Holzmeister, F., Camerer, C. F., Dreber, A., Huber, J., Johannesson, M., ... & Rieck, J. R. (2020). Variability in the analysis of a single neuroimaging dataset by many teams. Nature, 582(7810), 84-88.
Sazhin, D., Frazier, A. M., Haynes, C. R., Johnston, C. R., Chat, I. K. Y., Dennison, J. B., ... & Smith, D. V. (2020). The role of social reward and corticostriatal connectivity in substance use. Journal of psychiatry and brain science, 5.
Chat, I. K. Y., Bart, C., Dennison, J., Smith, D., Miller, G., Nusslock, R., & Alloy, L. (2021). Inflammatory Signaling and Corticostriatal Functional Connectivity to Anticipated Valence and Salience of Reward and Threat Stimuli: An Investigation in Depressed vs. Non-Depressed Young Adults. Biological Psychiatry, 89(9), S298-S299.
Dennison, J. B., Sazhin, D., & Smith, D. V. (2022). Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges. Wiley Interdisciplinary Reviews: Cognitive Science, 13(3), e1589.
Jeffrey Dennison, "Making Decisions with Limited Information: Forming and Updating Ambiguous Beliefs." Dissertation, 2023.
Ori Zaff, James Wyngaarden, Jeffrey Dennison, Daniel Sazhin, Jason Chein, Michael McCloskey, Lauren Alloy, Johanna Jarcho, David Smith, Dominic Fareri, "Social context and reward sensitivity enhance corticostriatal function during experiences of shared rewards." bioRxiv, 2023.
Wyngaarden III, J. B., Johnston, C. R., Sazhin, D., Dennison, J. B., Zaff, O., Fareri, D., ... & Jarcho, J. M. (2023). Substance use is related to differential activation and connectivity for social relative to monetary rewards. BioRxiv, 2023-01.
Dennison, J. B., Tepfer, L. J., & Smith, D. V. (2022). Tensorial Independent Component Analysis Reveals Social and Reward Networks Associated with Major Depressive Disorder. bioRxiv, 2022-08.
Jeffrey Dennison, Michael Langham, Favilla Christopher, Hyunyeol Lee, Felix Wehrli, "3D Quantitative BOLD MRI in Patients with Unilateral Carotid Occlusion." In the proceedings of ISMRM, 2024.
David Smith, James Wyngaarden, Cooper Sharp, Daniel Sazhin, Ori Zaff, Dominic Fareri, Johanna Jarcho, "An fMRI dataset of social and nonsocial reward processing in young adults." Data in brief, 2024.
James Wyngaarden, Camille Johnston, Daniel Sazhin, Jeff Dennison, Ori Zaff, Dominic Fareri, Michael McCloskey, Lauren Alloy, David Smith, Johanna Jarcho, "Corticostriatal responses to social reward are linked to trait reward sensitivity and subclinical substance use in young adults." Social Cognitive and Affective Neuroscience, 2024.
Felix Wehrli, Michael Langham, Andrew Wiemken, Jing Xu, John Detre, Jeffrey Dennison, Richard Schwab, "Obstructive Sleep Apnea: Feasibility of Concurrent Evaluation of Neurometabolic Rate and Upper Airway Architecture During Sleep in the Scanner." In the proceedings of ISMRM, 2024.
Daniel Sazhin, James Wyngaarden, Jeff Dennison, Ori Zaff, Dominic Fareri, Michael McCloskey, Lauren Alloy, Johanna Jarcho, David Smith, "Trait reward sensitivity modulates connectivity with the temporoparietal junction and Anterior Insula during strategic decision making." Biological Psychology, 2024.
James Wyngaarden, Yi Yang, Jeffrey Dennison, David Smith, "A Dataset of Risky and Ambiguous Decisions Using a Novel Linked Colored Lottery Task Across Two Studies." Data in Brief, 2025.
Jeffrey Dennison, Michael Langham, Andrew Wiemken, Jing Xu, Richard Schwab, John Detre, Felix Wehrli, "Concurrent evaluation of cerebral oxygen metabolism and upper airway architecture via temporally resolved MRI." Journal of Cerebral Blood Flow & Metabolism, 2025.
Nada Kamona, Michael Langham, Rajiv Deshpande, Brian-Tinh Vu, Mahdie Hosseini, Jeffrey Dennison, Kathryn Jaroszynski, Felix Wehrli, "MRI-based quantification of whole-organ renal metabolic rate of oxygen during free-breathing." Magnetic Resonance in Medicine, 2025.
Jeffrey Dennison, Michael Langham, Felix Wehrli, "Novel MRI Pulse Sequence to Image Upper Airway Anatomy and Measure Changes in Neurometabolism During Volitional Model Apneas." In the proceedings of ISMRM, 2025.
Jeffrey Dennison, Andrew Wiemken, Michael Langham, Jing Xu, Richard Schwab, Felix Wehrli, "Quantitative MRI Mapping of Upper Airway Anatomy and Cerebral Oxygen Metabolism with Concurrent EEG in OSA Patients During Sleep in Scanner." In the proceedings of ISMRM, 2025.
James Wyngaarden, Akanksha Nambiar, Jeffrey Dennison, Lauren Alloy, Dominic Fareri, Johanna Jarcho, David Smith, "Trait reward sensitivity and behavioral motivation shape connectivity between the default mode network and the striatum during reward anticipation." bioRxiv, 2025.
Talks
June 01, 2019
Tutorial at Coding Outreach Group (COG) Summer Workshop Series, Philadelphia PA, USA
June 01, 2022
Tutorial at Neuromatch Academy Annual Workshop, virtual
October 10, 2022
Talk at Society For Neuroeconomics 2022, Crystal City, VA
June 10, 2024
Talk at ISMRM,
July 10, 2025
Talk at ISMRM, Honolulu, HI
Teaching
Service and leadership
- Memberships
- Society for Neuroeconomics
- Society for Neuroscience
- Reviewer
- Human Brain Mapping (with advisor)
- Cell Reports (with advisor)
- Journal of Visual Experiments