The Team
Theodoros Zanos, Ph.D.
Director, Division of Health AI
Interest: Machine learning in medicine, neural data analysis, neuroscience, neurophysiology recording and stimulating methods
Shubham Debnath, Ph.D.
Interest: Neural data analysis and decoding, machine learning, noninvasive neurophysiology recording methods.
Todd Levy, M.S.
Interest: Applying novel signal processing and machine learning pipelines to decode biological signals in conjunction with stimulation paradigms for closed-loop control of biological systems in biomedical devices.
Avantika Vardhan, Ph.D.
Interest: NLP on Electronic Health Records, medical/brain image analysis, machine learning
Michael Schied, Ph.D.
Interest: Machine Learning in Medicine, wearable devices, neural data science, noninvasive neurophysiology recording methods, bioelectronic medicine
Nabil Ettehadi, Ph.D.
Interest: Artificial Intelligence, Computer Vision, AI in healthcare and neuroimaging, computational imaging, and low-light image enhancement
Fylaktis Fylaktou, Ph.D. Candidate
Interest: Signal Processing and Machine Learning in neural and physiological recordings, neural decoding of mental and disease states
Lucas J. Cang
Interest: Network infrastructure, machine learning and deep learning pipelines.
Hardik Patel, D.O.
Interest: Surgical Oncology and the applications of Computer Vision in the field of surgery
Viktor Toth, M.S.
Interest: Machine learning, neural data analysis, brain-computer synthesis, algorithm design and optimization
Rebecca Steinberg
Interest: Molecular biology from a systems perspective, and the applications of machine learning in proteomics.