Academic Background
Lora obtained her Bachelor’s of Science degree in Biomedical Engineering with a focus on medical devices and Electrical Engineering from Case Western Reserve University (Cleveland, Ohio, USA) in 2017.
In the following two years, she worked as a Research Data Associate at the Department of Neurology at the New York University Langone Medical Center (NYULMC) and Kimmel Pavilion Hospital, supervised by Dr. Adeen Flinker (NYULH Comprehensive Epilepsy Center, Director of Research) and Prof. Uri Hasson (Princeton Neuroscience Institute at Princeton University). Her main tasks included pre-processing ECoG and clinical data from Epilepsy patients, managing patient consents, writing IRB grants, and interacting with external collaborators.
Her research interests span over integrating tech applications to fulfill clinical needs, including (i) intra-operative and implant Electrocorticography (ECoG) measurements for patients with epilepsy, (ii) Electromyography (sEMG) for prosthetic/accessibility improvement, (iii) Deep learning in lung cancer pathology slide classification, (iv) development of NIR device for fetal oxygenation measurement, and (v) time-series ECoG data and speech audio pre-processing at Princeton University/New York University.
Currently, she works as a Research Assistant at the HES-SO Valais/Wallis. In particular, in the context of the GAMBLY project, she is responsible for randomized control trial testing of an at-home new VR-based therapy for children with residual pediatric amblyopia. Her responsibilities are data collection, EEG analysis, and technology integration. In parallel, she is attending a Master’s in Artificial Intelligence at IDIAP Research Institute — Martigny, Switzerland — intending to integrate artificial intelligence methods to cognitive neuroscience and EEG data analysis.
Publications
Find Lora Fanda in Research Gate and Google Scholar.
Undergraduate Abstracts
Fanda L, Nieto S, Patel J, Spessert E. Surface Electromyographic (sEMG) control of a smartphone. Case Western Reserve University, Undergraduate Research Conference. May 2017.
Conference Abstracts
Shum J, Mahmood B, Fanda L, Dugan P, Friedman D, Doyle W, Devinsky O, Flinker A. Functional Mapping of Language with High Gamma Electrocorticography. Society for Neuroscience, Chicago, October 2019.
Shum J, Fanda L, Mahmood B, Friedman D, Dugan P, Doyle W, Devinsky O, Flinker A. Neural correlates of American Sign Language production revealed by electrocorticography. Society for the Neurobiology of Language. Helsinki, Finland, August 2019.
Shum J, Mahmood B, Fanda L, Friedman D, Dugan P, Doyle W, Devinsky O, Flinker A. Functional mapping of language with high gamma electrocorticography using a battery of five language tasks. NYU Neurology Research Symposium. May 15, 2019.
Shum J, Mahmood B, Fanda L, Dugan P, Friedman D, Doyle W, Devinsky O, Flinker A. Functional mapping of language with high gamma electrocorticography using a battery of five language tasks. NYU Neuroscience Retreat, April 5, 2019.
Shum J, Mahmood B, Fanda L, Friedman D, Dugan P, Doyle W, Devinsky O, Flinker A. Functional mapping of language with high gamma electrocorticography compared with electrical brain stimulation. American Epilepsy Society. AES 2018 Conference New Orleans, December 2018
Shum J, Fanda L, Mahmood B, Friedman D, Dugan P, Doyle W, Devinsky O, Flinker A. Neural correlates of sign language and spoken language revealed by electrocorticography. Society for Neuroscience, San Diego, November 2018.
Ozker M, McAlister M, Fanda L, Mahmood B, Dugan P, Friedman D, Doyle W, Devinksy O, Flinker A. Intracranial neurophysiology of auditory feedback control during speech production. Society for Neuroscience, San Diego, November 2018.
Ozker M, McAlister M, Fanda L, Shum J, Dugan P, Friedman D, Doyle W, Devinsky O, Flinker A. Neural correlates of delayed auditory feedback during speech production investigated by electrocorticography. Society for Neuroscience, San Diego, November 2018.
Shum J, Fanda L, Mahmood B, Friedman D, Dugan P, Doyle W, Devinsky O, Flinker A. Neural correlates of sign language and spoken language revealed by electrocorticography. Society for Neuroscience, San Diego, November 2018.
Shum J, Fanda L, Friedman D, Dugan P, Devinsky O, Flinker A. Neural correlates of sign language and spoken language revealed by electrocorticography. NYU Neurology Research Symposium. May 16, 2018.
Lora Fanda 