Chad Williams
Biometric Data Scientist @Inward Vr
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WORK HISTORY
Biometric Data Scientist @Inward Vr
At Inward VR, I develop biometric data solutions that integrate wearable devices for real-time physiological monitoring. My work bridges data science and software development to enhance immersive experiences with biometric feedback: Designed an app to detect, connect, and stream data from three biometric devices simultaneously Enabled real-time visualization, recording, and transmission of biometric data Built scalable pipelines for biometric analytics in VR applications Optimized data integration for seamless VR user experiences
EDUCATION
University of Victoria
Bachelor of Science - BS, Psychology
University of Victoria
Certificate, Learning and Teaching in Higher Education
University of Victoria
Master of Science - MS, Neuroscience
University of Victoria
Doctor of Philosophy - PhD, Neuroscience
ABOUT CHAD WILLIAMS
I am a neuroscientist and data scientist with expertise in wearable biometrics, signal processing, and machine learning. My expertise lies in developing scalable, data-driven solutions that integrate neuroscience, AI, and real-time biometric analytics to optimize cognitive performance, enhance mental health, and advance brain-computer interfacing. & : Led teams to integrate neurotech, ML, and biometrics for real-time performance enhancement Developed, an AI tool that improved neural decoding accuracy by 16% Built, a tool that extracts and parses mathematical equations from Wikipedia to build informed priors Contributed to, an open-source framework for automating empirical research and model discovery Applied Bayesian symbolic regression to recover psychological models, outperforming 71% of benchmarks Created platforms for real-time tracking, reporting, and visualization of biometrics Integrated EEG, PPG, and accelerometry data into scalable dashboards for real-time monitoring and transmission Collaborated with teams to develop neurofeedback solutions for mental health and performance Led product development from concept to prototype, validating neural data collection and analysis tools: & : EEG, ECG, PPG, accelerometry, eye-tracking, etc: PyTorch, Scikit-Learn, Generative AI, Symbolic Regression & : Real-time biometric signal processing, interactive dashboards, automated reporting & : Academic manuscripts, industrial reports, technical documentation, ethics & grants
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