Sayyida Shazia

Sayyida Shazia completed her engineering degree in biotechnology at Birla Institute of Technology, Mesra, India. She also holds a Masters degree from University of Oxford in nanotechnology. Her PhD project is to study the stunted population of India, which is a prominent and persistent public health problem of India. We are taking a multifactorial approach to study stunting and build statistical models on the vast data collected from  different ethnic and regional populations of India. This project is co-supervised with Dr. Parul Christian from the Bloomberg School of Public Health.

Autumn Williams

Autumn Williams is investigating research questions pertaining to quantitative biomarkers that can improve the accuracy of and access to neurological diagnosis. She is passionate about improving the reliability and equity of treatment for neurological injuries. Her research work focuses on applications of biostatistics, signal processing, image analysis, and machine learning.

Alana Tillery

Alana Tillery is an MD-PhD candidate in the Biomedical Engineering Department at the Johns Hopkins University. She earned her BS in Bioengineering from the University of Maryland-College Park. Her research interests include neural signal processing, machine learning, brain-machine interfaces, and neurology.

Amir Hossein Daraie

Amir Hossein Daraie is a Ph.D. candidate in the Biomedical Engineering Department at The Johns Hopkins School of Medicine and an M.Eng. student at the Applied Mathematics and Statistics at Johns Hopkins University. He is working on epilepsy seizure prediction, brain stimulation, and seizure network analysis under Professor Sridevi Sarma, Dr. Adam Charles and Dr. Joon Yi-Kang, MD. He earned his dual bachelor’s degree in biomedical and electrical engineering at Tehran Polytechnic. He worked as a research intern at Donders Centre for Cognitive Neuroimaging,
Netherlands. At the Donders Sleep & Memory Lab he developed soft- and hardware solutions for home-based sleep recordings and sleep modulation using single-electrode EEG and deep and machine learning algorithms under the supervision of Prof. Martin Dresler. He has several years of experience as a software developer and embedded system designer in international robotics competitions, RoboCup. 

Tony Wei

Tony Wei earned his B.S. in Biomedical Engineering & B.S. in Applied Mathematics and Statistics from the Johns Hopkins University. He is currently a Ph.D. candidate in Biomedical Engineering in Dr. Sridevi Sarma’s Neuromedical Control Systems Lab at the Johns Hopkins University. His research interests include neural signal processing, machine learning applications in neuroscience, and chronic pain. For his PhD he is collaborating with Dr. Latremoliere and Dr. Alexandre from the Neurosurgery Pain Research Institute at Johns Hopkins to identify an EEG neuropathic pain biomarker from mice fronto-parietal brain activity during sleep.

Patrick Myers

Patrick Myers earned his B.S. and M.S.E. in Biomedical Engineering from the Johns Hopkins University. His recent research includes creating a network-based biomarker for epilepsy, generated from analyzing scalp EEG recordingsHe is currently a Doctor of Engineering candidate in the Neuromedical Control Systems Laboratory and Assistant Research Scientist with the Institute of Computational Medicine. For this program, he is collaborating with Dr. Yun Guan to develop a robust closed-loop stimulation system to control chronic pain.