People | Computational Cognitive Neuroscience of Language Lab

CURRENT TEAM

Principal Investigator

Spoken language processing, developmental and acquired language disorders, computational models

Postdoctoral researcher

Spoken word recognition; prediction

Also working with Emily Myers

PhD Student

Monica is interested in the cognitive and neural mechanisms underlying spoken word recognition, particularly regarding how top-down (e.g., attention, context) and bottom-up (e.g., speech signal, noise) information interact to determine speech perception.

Sahil Luthra

PhD Student

Co-major advisor: Emily Myers

Spoken word recognition, prediction, neurobiology of language, talker variability

David Saltzman

PhD Student

Spoken word recognition; talker variability; perceptual learning; aging

Major advisor: Emily Myers

Anne Marie Crinnion

PhD Student

Spoken word recognition; network science

Co-Major advisor: Emily Myers

Giovanni Peraza-Santiago

Undergraduate research assistant, 2018-20; Post-bac researcher, 2020-

Spoken word recognition; interaction in models of word recognition

Samantha Grubb

Undergraduate research assistant, 2018-

Spoken word recognition; working on validating the new jsTRACE software

Purna Dalal

Undergraduate research assistant, 2019-

Spoken word recognition

LAB AFFILIATES

Dr. Christian Brodbeck

Research Professor

Christian collaborates with lab members on a variety of computational and cognitive neuroscience projects.

Dr. Thomas Hannagan

AI & Neural Networks Scientist, PSA, Paris

Thomas collaborates with lab members on a variety of computational and cognitive neuroscience projects.

ZhaoBin Li

Carleton College

ZhaoBin was a visiting scholar in 2020 and continues to collaborate on multiple projects. He developed the terrific LexFindR package during his 'visit' (it was remote, due to the pandemic).