• Apply machine learning algorithms to classify scalp EEG signals and predict deep brain activity.• Analyze scalp and stereotactic EEG data in patients with epilepsy to examine how sleep oscillations interact with pathological activity and their relationship to neuropsychological measures and sleep-dependent memory.• Supervise and mentor interns, technicians, and junior researchers to efficiently carry out experiments and analysis projects.

• Developed a closed-loop system that identifies sleep oscillations in EEG and delivers precisely timed stimulation interrogate the relationship between oscillations and memory. • Evaluated prototypes and commercially available wearable EEG headbands for large-scale recording of sleep in the home for neurodevelopmental and neuropsychiatric patients.• Designed experiments and collected data from individuals with schizophrenia and epilepsy to examine how closed-loop stimulation alters… Show more • Developed a closed-loop system that identifies sleep oscillations in EEG and delivers precisely timed stimulation interrogate the relationship between oscillations and memory. • Evaluated prototypes and commercially available wearable EEG headbands for large-scale recording of sleep in the home for neurodevelopmental and neuropsychiatric patients.• Designed experiments and collected data from individuals with schizophrenia and epilepsy to examine how closed-loop stimulation alters neural activity and memory in patient groups.• Collaborated across multiple disciplines including neurology, psychiatry, sleep medicine, and neuroscience to develop and successfully acquire grants.• Supervised undergraduate student researchers and clinical research coordinators. Show less

• Interfaced with healthy and clinical populations to screen participants and perform experiments evaluating cognitive performance and learning within a brain-computer interface framework.• Composed software to integrate brain-computer interface technology with a robotic arm and evaluate user control of the arm using self-modulation of brain rhythms. • Designed and performed experiments combining electrophysiology and transcranial current stimulation. I applied and integrated new data… Show more • Interfaced with healthy and clinical populations to screen participants and perform experiments evaluating cognitive performance and learning within a brain-computer interface framework.• Composed software to integrate brain-computer interface technology with a robotic arm and evaluate user control of the arm using self-modulation of brain rhythms. • Designed and performed experiments combining electrophysiology and transcranial current stimulation. I applied and integrated new data analysis methods into a custom workflow for EEG data and found improved performance and altered brain rhythms following stimulation. • Applied machine learning algorithms to classify data recorded from the brain to predict brain states.• Analyzed electrophysiological data using an inverse solution based approach combined with data modeling to evaluate connectivity between brain regions while subjects perform cognitive tasks. • Developed computational finite element model of transcranial direct current stimulation of the human brain to plan and calculate the direct area of effect of electrical stimulation of the head. • Mentored and managed five undergraduate research assistants who developed their own projects and data analysis techniques and have coauthored research publications. These students have gone on to pursue graduate degrees, work at NGOs, and work in industry.• Contributed to NIH/NSF grant applications. Show less

• Independently designed laboratory equipment using 2D and 3D mechanical design software • Developed automated reward system utilizing touchscreen input for training monkeys• Performed electrophysiological and MRI experiments to localize and characterize the face processing network in the macaque• Liaised with university administration across sectors – financial, grants and sponsored research, procurement, institutional review board, institutional animal care and use committee at… Show more • Independently designed laboratory equipment using 2D and 3D mechanical design software • Developed automated reward system utilizing touchscreen input for training monkeys• Performed electrophysiological and MRI experiments to localize and characterize the face processing network in the macaque• Liaised with university administration across sectors – financial, grants and sponsored research, procurement, institutional review board, institutional animal care and use committee at both Rockefeller University and Weill-Cornell Medical College Show less

• Performed imaging and electrophysiology experiments on primary neuronal culture system• Coordinated transition of the laboratory to a new building