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U.S. Navy Veteran and 4th-year Ph.D. student in Psychology
Brandon N.

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Hourly Rate: $65

About Brandon


Bio

I am currently a Ph.D. candidate in Cognition and Cognitive Neuroscience at the University of California, Riverside, where my work focuses on learning, attention, and performance. My training has involved extensive coursework and applied work in statistics, experimental design, and data analysis, including regression modeling, mixed-effects models, and behavioral data interpretation. In addition to my doctoral training, I hold two master's degrees in psychology and education, which together...

I am currently a Ph.D. candidate in Cognition and Cognitive Neuroscience at the University of California, Riverside, where my work focuses on learning, attention, and performance. My training has involved extensive coursework and applied work in statistics, experimental design, and data analysis, including regression modeling, mixed-effects models, and behavioral data interpretation. In addition to my doctoral training, I hold two master's degrees in psychology and education, which together provide both theoretical depth and practical experience in how students acquire and apply complex material.

My teaching experience includes serving as an instructor and teaching assistant for undergraduate courses in psychology and neuroscience, where I have worked with students from diverse academic backgrounds and levels of preparation. I have led review sessions, supported students one-on-one during office hours, and helped students prepare for exams and complete research-based assignments. Much of this work has involved translating abstract concepts - such as statistical reasoning, experimental logic and cognitive mechanisms - into concrete, step-by-step approaches that students can apply independently.

My tutoring approach is structured but adaptive. I focus on identifying where a student's understanding breaks down, then rebuilding that understanding through guided problem solving and clear conceptual explanations. I emphasize not just arriving at correct answers, but developing the reasoning strategies needed to perform under exam conditions and across new problems. I have worked primarily with college-level students, but have experience working with middle school and elementary students. I adapts explanations and pacing depending on the student's background, with the goal of making complex material both accessible and usable.


Education

University of California, Riverside
B.S. in Psychology
University of California, Riverside, School of Education
Masters
University of California, Riverside, Psychology Department
Masters

Policies


Schedule

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Approved Subjects

ADHD

ADHD

I am a Ph.D. candidate in Cognition and Cognitive Neuroscience at the University of California, Riverside, with formal training in attention, executive function, and learning processes directly relevant to ADHD. My work focuses on how individuals allocate attention, manage task switching, and develop efficient strategies for performance, which allows me to translate cognitive science into practical study and organization methods. In addition to my academic training, I have had to develop and refine my own strategies for managing ADHD-related challenges, which informs a practical, experience-based understanding of what works in real-world settings. I have experience teaching and working one-on-one with college students, helping them build structured approaches to time management, sustained focus, and exam preparation. My approach combines evidence-based strategies with individualized support, targeting both the underlying cognitive mechanisms and the day-to-day skills needed to improve academic performance.
Data Science

Data Science

I am a Ph.D. candidate in Cognition and Cognitive Neuroscience at the University of California, Riverside, with extensive training in statistical modeling, data analysis, and experimental design. My work involves analyzing behavioral data using methods such as regression, mixed-effects modeling, and data cleaning pipelines, often working with large, trial-level datasets. I have experience guiding students through statistical concepts, coding workflows, and the interpretation of results, particularly in R, MATLAB, and related tools. My approach emphasizes building a clear understanding of both the logic behind statistical methods and their practical application, including how to structure analyses, check assumptions, and communicate findings effectively. I focus on helping students move from running analyses to understanding what their results mean and how to report them accurately.
Neuroscience

Neuroscience

I am a Ph.D. candidate in Cognition and Cognitive Neuroscience at the University of California, Riverside, with formal training in neural systems underlying learning, memory, attention, and decision making. My background includes coursework and research in systems and cognitive neuroscience, covering topics such as neural circuitry, brain–behavior relationships, and experimental methods used to study cognition. I have experience teaching and supporting undergraduate students in neuroscience and psychology courses, helping them understand both core concepts and how empirical findings are generated and interpreted. My approach emphasizes connecting neural mechanisms to observable behavior, so students can understand not just what brain systems do, but how we know. I focus on clarifying complex material through structured explanations and by linking concepts to experimental paradigms commonly used in the field.
Psychology
Statistics
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