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Jaleesa

stringfellow-james

behavioral and cognitive Neuroscience Phd. Candidate

CENTER FOR MOLECULAR AND BEHAVIORAL NEUROSCIENCE - Rutgers University-newark

 EDUCATION


UNDERGRADUATE

Bachelor of Arts, 2018

Psychology & English, Summa Cum Laude

Rutgers University CAS-Newark

GRADUATE

Ph.D. Student in Behavioral Neuroscience, 2020

Rutgers CMBN – Newark

EXPERIENCE

bns graduate student

Travis Baker, Ph.D.,

neurostimlab

2020– Present

  • Aim 1: Research in goal-directed behaviors and reward processing using mobile EEG and Augmented Reality

  • Aim 2: Simultaneous fMRI - EEG source localization using Neural Decoding and MVPA

  • Aim 3: Using augmented reality and mobile EEG to uncover the behavioral and Kinematic parameters that modulate reward processing in the brain.

Research Staff

Mauricio Delgado, Ph.D.,

Social & Affective Neuroscience laboratory

2019 – Present

  • Research staff assigned to project: “Negative Affect Mechanisms Underlying Opioid Use in Lab and Daily Life.”

  • Collaborated with PI to create and submit IRB protocol for a grant research project.

  • Developed PsychoPy3 experiment for Instrumental Avoidance Task.

  • Developed PsychoPy3 experiment for Social Reward Task.

  • Developed PsychoPy3 experiment for Drug Cue Image Escape Task.

Lab Manager

Alan Gilchrist, Ph.D.

Perception research laboratory

2018 – 2019

  • Supervised and managed a team of research assistants.

  • Scheduled research meetings and student participants.

  • Independently conducted several experiments.

  • Allocated MBRS/PREP funds for lab expenses.

  • Familiar with visual perception software Spectrawin, iProfiler.

  • Utilized hardware spectrometer I1pro and PR-655.

Lead Research Assistant

Vanessa LoBue, Ph.D.

cHILD Study Center at Rutgers University

2017 - 2018

  • Simultaneously assisted in two or more child development studies, such as social threat response and contagion research.

  • Prepared and administered experiments using child participants as defined in IRB 45 CFR 46.404 regulation.

  • Safeguarded the confidentiality of subjects.

  • Recruited and/or interviewed subjects such as updated preschool roster and conducted in-person and cold call recruitment.

  • Mentored and Supervised new research assistance under the Lab Manager.



Neuroscience Software

Statistical Software Experience

Programing Skills

AWARDS

Psi Chi                                        2017 – 2018

Dean’s List                                  2016 – 2018

National Leadership Society     2017 – 2018

MBRS/G-RISE 2017 – 2023

EXTRACURRICULAR

NY CARES VOLUNTEER             2015 - 2018

ENTREPRENEURSHIP

COFOUNDER of UNIT 221B, LLC

2012- Present



teaching/training

TEACHING ASSISTANTSHIP

  1. FOUNDATIONS III (Graduate) - Fall 2023

  2. INTRODUCTION TO NEUROSCIENCE (Undergraduate) -Fall 2021 & Fall 2022

  3. SEMINAR IN PSYCHOLOGY (Undergraduate) - Fall 2020

Research and Laboratory Safety Training

  1. Clinical Health and Safety Training

  2. RUBIC MRI Safety training (Level 2)

  3. RUBIC MRI Safety training (Level 1)

  4. CITI Program (Biomedical /Clinical Research Investigators)

  5. CITI Program (Social / Behavioral /Epidemiological Research Investigators)

  6. CITI Program (Social and Behavioral Responsible Conduct of Research)

Software and programming training

  1. Python Essential Training Course, 2019

  2. MATLAB 2018 Essential Training, 2019

  3. SPSS for Academic Research, 2019

  4. Programming Foundations: Fundamentals, 2019

 

conferences

 
 

cns 2025 - POSTER PRESENTATION: Decoding the Neural Generator of the Reward Positivity with simultaneous EEG-fMRI

SPR 2023 - future flask talk PRESENTATION: A Novel Augmented Reality Operant Task to Assess the Ecological Validity of the Reward Positivity

SPR 2023 - FINDING REWP: A POTENTIAL SOURCE OF THE REWARD POSITIVITY REVEALED BY THE APPLICATION OF REPRESENTATIONAL SIMILARITY ANALYSIS OF EEG-FMRI DATA

SPR 2022 - POSTER PRESENTATION: ELECTROPHYSIOLOGICAL RECORDING DURING REAL-WORLD GOAL-DIRECTED NAVIGATION USING AUGMENTED REALITY

disconnect camp 2019 - SPEAKER

 

papers/interviews

Stringfellow, J. S., Liran, O., Lin, M. H., & Baker, T. E. (2024). Recording neural reward signals in a naturalistic operant task using mobile-EEG and augmented reality. Eneuro, 11(8).

Jaffe, E. (2024, March 1). How augmented reality is advancing brain and mental health treatment. The Scientist. https://www.the-scientist.com/how-augmented-reality-is-advancing-brain-and-mental-health-treatment-72757