Neurotechnology at Case Western
Welcome to our student-led neurotechnology club at Case Western Reserve University. Join us in exploring the exciting field of neurotech through competitions, workshops, mentorship, and networking opportunities.
BCI Competitions
We plan to attend and possibly host BCI hackathons around the country.
Technical Workshops
Participate in our technical workshops to enhance your neurotech expertise.
Interactive Projects
Form project groups and tackle your own paradigm using our advanced EEG system!
Owen Anderson
Fourth-year neuroscience, computer science and AI student at Case Western Reserve University. Researcher at Cleveland Clinic.
Lucas Vorkoper
Fourth-year cognitive science & neuroscience student at Case Western Reserve University. Researcher at School of Medicine.
Luke Sebold
Technical Mentor
Third year computer science student at Case Western Reserve University. President of the Quantum Computing Club.
Mark Shteyn
Technical Mentor
Third year Data Science and Artificial Intelligence student at Case Western Reserve University. Researcher at SDLE Lab.
Sara Elanchezhian
Secretary
Third year BME and neuroscience student at Case Western Reserve University. Undergraduate researcher at Cleveland Clinic.
Shaiv Mistry
Risk Manager
Third year Neuroscience, Chemistry, and Bioethics student at Case Western Reserve University.
Zachary Sevrens
Treasurer
Fourth year Computer Science, Machine Learning, and Math student at Case Western Reserve University.
What Our Members Say
About Neurex
Students from All Backgrounds Welcome — Your Perspective Matters
FOR NEUROSCIENCE STUDENTS
Leverage your knowledge of the brain to interpret neural data.
Neuroscience students play a vital role in understanding how brain activity translates into technology. Contribute to decoding complex EEG signals and connecting neuroscience principles to advanced AI models.
Analyze and interpret neural data to uncover key patterns
Identify and map neural responses to external stimuli
Provide insight into neurological processes for AI-driven research
FOR COMPUTER/DATA SCIENCE STUDENTS
Transform neural data into insights using cutting-edge deep learning.
Computer and data science students are essential for developing machine learning models that can handle the intricacies of brainwave data, optimizing them for real-world applications in neurotechnology.
Develop deep learning models to process complex EEG signals
Create pipelines for efficient data preprocessing and visualization
Implement algorithms to predict neural responses and interactions
Contact our friendly team
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