(he/him/his) received his undergraduate degree from Pitt in 2009, a master's degree from University of Oregon in 2017, and his PhD in 2023 from the NACS program at UMD. His home department is Human Development and Quantitative Methodology within the College of Education where he has taught and lectured multiple courses. His current research uses electroencephalography (EEG) to probe the biological mechanisms underlying narrative comprehension. His other research interests include the psychological phenomena surrounding word learning from context. He also recently designed a paradigm to utilize both eye-tracking and EEG to examine implicit relevance feedback in a virtual reality environment. As a research assistant in the Lead Lab, Ben currently helps out with programming experimental tasks and data analysis. When he is not working he is cooking elaborate meals with his amazing partner, watching movies, tinkering with electronics, running a plastic recycling company, and riding his bike around the DMV.
Areas of Interest
- Reading processes
- Vocabulary learning
- Narrative Comprehension
PhDNeuroscience and Cognitive Science. UMD