Dr. ZHENHONG HU

BIO

My professional journey bridges academia and industry, shaped by a robust background as a research data scientist and machine learning engineer. Before my current academic appointment, I played a key role at Alto Neuroscience, an innovative biotechnology startup, where I helped develop AI-powered, data-driven brain biomarker platforms to personalize the diagnosis and treatment of mental health conditions such as depression and PTSD. Collaborating with a diverse team of scientists and engineers, I led efforts across the full data lifecycle—from management and curation to statistical analysis and the deployment of machine learning models in real-world clinical research. Notably, Alto Neuroscience has since become publicly traded on the New York Stock Exchange.

My industry experience also includes time at Meta Reality Labs Research, where I worked alongside visionary researchers at the forefront of next-generation technologies. There, I explored the convergence of machine learning, human-computer interaction, cognitive neuroscience, and wearable technologies. My work focused on developing computational models and adaptive intelligent interfaces for wearable and extended reality (XR) devices, with the goal of creating seamless and personalized user experiences in augmented and virtual environments.

If I were a journal article, my keywords would include: biosignal processing, machine learning, AI, multimodal representation learning, self-supervised learning, multimodal sensor fusion, AI for time series modeling, Granger causality, wearable devices, human-computer interaction, brain-computer interfaces, eye-tracking, EEG, ECG, EKG, EMG, user studies, experimental design, precision medicine, and digital health.