Autumn 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 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.
Abel Corver is a PhD student studying the construction rules that underpin spider web-making, jointly supervised by Sri Sarma and Andrew Gordus. He aims to develop assays and algorithms to reveal the quantitative relationship between sensory input and motor output, with a particular interest in the role of internal memory states in coordinating behavioral sequences. Before his work on arthropod behavior, he completed a bachelor in linguistics.
Ishan Jain is a master’s student in biomedical engineering at the Johns Hopkins University. He completed his bachelor’s degree in electrical engineering at the Indian Institute of Technology (IIT) Delhi with a minor in physics. He is currently working on localizing the seizure onset zone in epilepsy using time-evolution matrices in dynamic brain network models. He is also investigating the neural correlates of drug levels in epileptic patients. He was born on the Indian east coast and raised in New Delhi.
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 received his B.S. in Biomedical Engineering and 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 Ph.D., 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 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 recordings. He 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.