BIOSIGNAL PROCESSING LABORATORY (BPL)

Priya Atiyolil is the Founding Director of the Biosignal Processing Laboratory. She is currently pursuing dual Master of Science degrees in Electrical and Computer Engineering and Financial Mathematics at Johns Hopkins University and is a graduate of the Commonwealth Honors College at the University of Massachusetts Amherst, where she studied Biomedical Engineering and Applied Mathematics.

She previously worked at Raytheon Intelligence & Space as an RF engineer, and served as an engineering design team lead at a National Endowment for the Arts (NEA) laboratory, where she and her team translated ECG signals into music for large-scale dance performances. She is now the owner of Regent Hill Financial and co-founder of King of Spades Energy Assets, and served as Vice Chair of the Town of Warren Finance Committee from October 16, 2025 to March 20, 2026. She is currently a student member of the Intelligence and National Security Alliance and intends to enroll at the Institute of World Politics later in the year to study Statecraft and Diplomacy. 

Priya is a recipient of the Massachusetts Governor Maura Healey & Lt. Governor Kim Driscoll Award for scientific innovation. She has also received Special Congressional Recognition twice, first at age 18 from Representative Jim Langevin on the recommendation of her school, and again at age 24 from Senator Elizabeth Warren on the recommendation of a former professor at UMass Amherst. At age 16, she qualified for the AIME, a selective national mathematics exam and precursor to the United States Mathematical Olympiad.

Zayan Ali is a Ph.D. student in Mechanical Engineering at the University of Connecticut and is concurrently pursuing a Master of Science in Computational and Applied Mathematics at Johns Hopkins University. He additionally holds a Bachelor of Science degree in Neuroscience and Engineering Physics and currently serves as a graduate research assistant.

 

Zayan’s experience includes developing advanced mathematical models of complex systems using methods such as Koopman Operator Theory and Principal Component Analysis, as well as conducting electroencephalography (EEG) studies to analyze neural dynamics. He has also worked as an application developer, where he designed tools for composite failure analysis and optimized laminae stacking sequences using Python.