Armelle Varillas

Armelle Varillas is an undergraduate student majoring in Biomedical Engineering. They plan to pursue a focus area in Medical Imaging and Devices with a connection to Artificial Intelligence. Outside of research, they enjoy playing ultimate frisbee, lifting weights, and are planning on becoming a personal trainer.

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.

Jeff Craley

Dr. Jeff Craley earned his PhD in Electrical and Computer Engineering from Johns Hopkins University in 2022. His dissertation research focused on developing machine learning algorithms for seizure localization in scalp EEG recordings. He earned an MS in Electrical Engineering from Boston University in 2015. He also earned a BS in Aerospace Engineering and BA in English Literature from Virginia Tech in 2011.

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.

Daniel Wang

Daniel Wang is an undergraduate student majoring in Biomedical Engineering and Applied Mathematics & Statistics. He’s fascinated by the brain sciences and is interested in learning more about how brain-computer interfaces can be used to help people living with disabilities. As hobbies, he enjoys running, reading, and (slowly but surely) improving his novice chess skills.

Veronica Kidwell

Veronica Kidwell is a biomedical engineering major and computer science minor going into her
Junior year. Her focus area is imaging and medical devices, with prosthetics being her main
interest. Her recent interest in systems and controls was sparked by Dr. Sarma’s course, leading
her to the Neuromedical Control Systems Lab.

Jeffrey Zhou

Jeffrey Zhou is an undergraduate student majoring in neuroscience and computer science going into his senior year. He wants to work with and develop algorithms that can help better diagnose neurological diseases and disorders.

Emily Reed

Dr. Emily A. Reed earned a PhD in Electrical and Computer Engineering at the University of Southern California (USC). In 2019 she obtained an MSc in Electrical Engineering from the University of Southern California and in 2017 she earned a BS degree in Electrical and Computer Engineering with honors research and global engineering distinction from the Ohio State University.
Dr. Reed is interested in designing and analyzing novel control strategies, algorithms, and machine learning tools to understand better, predict, and control complex dynamical networks.
Dr. Reed has been awarded several fellowships, including the National Science Foundation Graduate Research Fellowship, the National Defense Science and Engineering Graduate Fellowship, the USC Annenberg Merit Fellowship, one of USC’s most prestigious fellowships, and the Qualcomm USC Women in Science and Engineering Merit Fellowship. In 2022 Dr. Reed was named a 2023 Rising Star in Electrical Engineering and Computer Science in the USA. Dr. Reed is also a Ming Hsieh Scholar at USC, a distinction awarded to the top 6 PhD students in the ECE department.