Cendri Hutcherson is the director of the Decision Neuroscience Laboratory, and an Assistant Professor of Psychology at the University of Toronto, with a cross-appointment in the Department of Marketing at the Rotman School of Management and membership in the Graduate Department of Psychological Clinical Science. She received degrees in psychology from Harvard (B.A.) and Stanford (Ph.D.), and spent several years as a post-doctoral scholar studying neuroeconomics at the California Institute of Technology. She loves the deep philosophical implications of neuroscience and psychology, and also the pretty brain pictures.   CV

Matthew D. Bachman is a postdoctoral fellow in the Decision Neuroscience Lab. He is broadly interested in how attention and perception can influence and be influenced by valuation processes and decision making. He investigates these cognitive interactions using a combination of EEG/ERPs, fMRI, eyetracking, and computational modelling. website

Hyuna (hyuh-nah) Cho is a PhD student in the Decision Neuroscience Lab investigating how we prioritize memory and attention in self-regulation. Hyuna’s current projects leverage computational models to understand what, and when, we consider information when making healthy food choices. Hyuna is fascinated by questions that lead to changes of mind during decisions, and loves learning new methods to unpack this broad question. website

Jingkai Hong is a visiting PhD student at the Decision Neuroscience Lab. He is from Warwick Business School at the University of Warwick. His research interests include attentional effects and cognitive biases in decision-making. LinkedIn

Mostafa Miandari Hossein is a fourth-year student in the graduate program in Psychology at U of T. He works on computational models of social dilemmas and social influence in decision making.

Jacob Koudys is a PhD Candidate in the Psychological Clinical Science program. He addresses questions in decision neuroscience that apply to suicidality and transdiagnostic psychopathology (e.g., disinhibition, emotion dysregulation) through the lens of computational psychiatry. He is particularly interested in unpacking neurocognitive mechanisms of dysregulation using reinforcement learning and sequential sampling models.

Daniel Wilson is currently completing a dissertation that investigates the intention-behavior gap. The work includes a novel trait-level measure of the intention behavior gap along with an exploration of state-level gap fluctuations using intensive longitudinal data collected via smartphones and wearables. The end goal is to meaningfully predict fluctuations in state levels of the intention-behavior gap based solely on passive digital trace data. Previously Daniel's work focused on contextual effects in multi-attribute choice using both behavioral and neuroimaging paradigms. cv

Haoyu (Allan) Zhang is a Ph.D. student in Psychology at U of T. Haoyu can be pronounced as simple as “How-u”. His Ph.D. focuses on learning and memory components of conflict value decision-making. He is fascinated by the name of computational cognitive neuroscience, though sometimes not sure what it means. Before joining U of T, he received a B.S. in psychology and a B.Phil. from Tsinghua University. Scholar profile

Mehakpreet Saggu is an incoming third-year student at the University of Toronto Scarborough, specializing in Cognitive Neuroscience with double minors in Psychology and Applied Statistics. At the Decision Neuroscience Lab, she researches moral hypocrisy and how individuals form moral judgments about others. When she's not immersed in her studies or research, you might find her engrossed in an Italo Calvino novel, sipping chai on her latest road trip adventure, perfecting her pull-up technique, or jamming out to quirky, medieval-inspired bardcore.

Derrick Justin (DJ) is a research assistant for the Toronto Decision Neuroscience Laboratory. After graduating from the class of 2023 from the University of Toronto (B.S.) in Psychology, he sought to navigate the world of clinical work and research in anticipation of applying for a master's for the Fall Semester of 2026. His current research focus includes personal data valuation and peripheral vision. He plans to become a better data analyst outside of work, improving his R coding skills. Outside of work, his interest lies in value investing in the stock and bullion market.