Chad Williams

Background

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