I am a hybrid Data Scientist & Mixed Methods Researcher with 9+ years of experience studying human behavior and psychology, with deep expertise in gaming and what makes games click with players. I am currently a Data Analyst at Gamesight, where I analyze creator and social media data to uncover marketing trends in the gaming industry, helping top video game publishers market their games through data-driven insights. I also recently completed my PhD at UPenn in the Computational Cognitive Neuroscience Lab , where I studied how people learn and remember. I have also conducted user research in the gaming industry at Riot Games , where I uncovered complex patterns in user social behavior and drove the design of new features on PC and mobile.
PhD in Psychology, 2025
University of Pennsylvania
MA in Psychology, 2020
University of Pennsylvania
BSc in Psychology, Book & Media Studies, 2018
University of Toronto
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Why can kids seemingly learn so much without even trying? By comparing how children and adults learn in the lab, we discover a reason why this could be. We find that children and adults pay attention to and process information in very different ways. Children pay attention to their environments in a more holistic and open-minded fashion, thus taking in more information from the worlds around them, kind of like a sponge. On the other hand, adults selectively attend to only one source of information and ignore and filter out everything else. While this can be beneficial for the task-at-hand, it does mean adults are processing and learning less from the environment. Together, this suggests that children learn so much because they are processing more information than adults.
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