Rachel Ryskin

Rachel Ryskin is an Assistant Professor at the Department of Cognitive & Information Sciences, University of California, Merced. She leads the Language, Interaction, & Cognition (LInC) lab, focusing on real-time language comprehension, predictive processing, and cognitive mechanisms in communication. Her research integrates eye-tracking, EEG, computational modeling, and neuropsychological studies.

• Current affiliation: Assistant Professor at UC Merced
• Previous roles: Postdoc at MIT (Brain & Cognitive Sciences) and Boston University (Speech, Language & Hearing Science)
• Education: Ph.D. in Cognitive Psychology (University of Illinois Urbana-Champaign); B.A. in Cognitive Science (Northwestern University)

Her work examines how humans use visuospatial perspective, speaker knowledge, and language statistics to resolve ambiguities during communication. She investigates lifelong learning mechanisms enabling adaptive inference in changing environments, with applications to aphasia and language acquisition research.

Recent publications highlight her expertise in noisy-channel modeling, cross-situational learning, and lifespan language adaptation. Articles span topics including ERP studies, Bayesian inference in comprehension, and computational approaches to pragmatic reasoning. No scientific awards or formal advisees are listed in available materials.