I am a schizophrenia researcher and an expert in electroencephalographic (EEG) data collection. I record brain activity in children and young adults at risk for developing psychosis, and in individuals diagnosed with schizophrenia. I am also pursing a masters degree in computer science, with the goal of applying machine learning alogrithms to our EEG data.
My current research measures audio-visual integration, a biomarker that may be useful in understanding how social information is processed in the brain. I am developing a psychophsiological prediction model, based on the McGurk-MacDonald Illusion, to preemtively indentify those at risk for developing psychotic disorders.
My aim to develop a treatment target based on this paradigm, with the goal of modeling interventions to reverse the developmental trajectory of psychotic disorders.