Instructors
Meet the team leading the Quantum Machine Learning Workshop
Lead Instructor
Joseph Picone
Dr. Joseph Picone is a Professor in the Department of Electrical and Computer Engineering at Temple University and a co-founder of the Neural Engineering Data Consortium (NEDC). He is internationally recognized for his work on large-scale open-source EEG corpora and machine learning applied to clinical neuroscience. His research group has pioneered the application of deep learning and, more recently, quantum machine learning to biomedical signal processing — making him one of the foremost experts on practical QML experimentation.
PhD Candidate
Temple University · NEDC
Sadia is a PhD candidate at the Neural Engineering Data Consortium specializing in Quantum AI and Machine Learning. Her research focuses on the intersection of quantum computing and deep learning for biomedical applications. She brings hands-on experience with quantum simulators and hardware platforms, and will be leading the QML simulation sessions.
MS Candidate
Temple University · NEDC
Abdullah is a graduate researcher at NEDC with interests spanning Quantum Machine Learning, Agentic AI, Large Language Models, and Digital Pathology. He brings practical experience building QML pipelines on real quantum hardware and will co-lead the hands-on hardware experiment sessions alongside Sadia.
Undergraduate Volunteers
A dedicated group of undergraduate students from Temple University will be assisting participants throughout the day — helping with setup, troubleshooting, and lab exercises.