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Brett Bormann
Brett is a Neuroscience PhD Candidate who is studying the neural mechanisms behind auditory attention to better understand how people perceive speech in a “cocktail party” environment. In addition, he is a part of a team creating a rapid brain-based diagnostic tool to better identify hearing loss using machine learning trained on clinical, behavioral, & neurological (EEG) data. In parallel to his work in neuroscience, Brett is passionate about teaching at UC Davis and preforming pedagogical research. When not in the lab or the classroom, he enjoys hiking all across Northern California or spending time relaxing at home reading and watching movies with his cats. |
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Tanya Matyushkina
(member of Prof. David Corina’s lab). Tanya is a graduate student in Psychology, broadly interested in speech perception. Her current project is dedicated to investigation of effects of cross-modal plasticity on speech perception in children with cochlear implants. |
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Ada Kanapskytė
Ada is a Biomedical Engineering Graduate Group PhD Student interested in the interface between humans and robotic devices, specifically human learning, behavior, and performance. In her free time, Ada can be found biking/running/walking around Davis with her energetic pup, partaking in STEM outreach, or if it’s summer – gardening! |
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Harsha Gowda
Harshavardhana is a PhD student in the Electrical and Computer Engineering department. He is interested in learning the inherent mathematical structures of biosignals. His current work includes designing algorithms to translate hand gestures into computer controls and to translate facial motions into speech using surface electromyogram signals. He is also developing an AI Listener to analyze acoustic, semantic, and lexical patterns of speech and act as a reinforcement to algorithms that generate speech using signals from the brain’s speech cortex or facial muscles. In pursuit of these problems, he is focusing on multivariate time series analysis on Riemannian manifolds and computational linguistics. |
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Aditi Agrawal
Aditi is currently pursuing a Master’s in Computer Science at UC Davis, where she is a Research Assistant in the Speech Neuroengineering and Cybernetics Lab. Her research focuses on developing durable and equitable machine learning models for wrist EMG gesture decoding, with a particular interest in model fairness across demographically diverse populations. She has extensive experience in analyzing biomedical signal data and collaborates with interdisciplinary teams to advance neurotechnology for real-world health applications. Aditi has contributed to published research on scalable, community-driven food waste management and is passionate about using technology to solve impactful problems. In her free time, she volunteers with social service organizations and enjoys building software for social good. |
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Celine John Philip
Celine is an MS in Computer Science student at UC Davis. She has earned her undergraduate degree in Computer Engineering with Honors in Cybersecurity. Her academic interests include artificial intelligence, machine learning, and cybersecurity. Celine’s current research contributes to the decoding of wrist EMG signals for adaptive human-computer interaction, using machine learning models that adapt across users. In the future, she aims to work on developing adaptive, secure, and user-centered AI systems that can advance consumer technology, assistive devices, and human-computer interaction. |
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Zacaria Balkhy
Zacky is a graduate student in the Biomedical Engineering Graduate Group. He is interested in the full cycle of high precision bioelectric signal processing, from signal acquisition through to mathematical and statistical characterization. His current work is focused on non-invasive neural source localization using EEG. In his free time he enjoys reading, programming, biking, skateboarding, skiing and hiking. |