Summary
Jun Zhuang is a research scientist based in the San Francisco Bay Area with a decade of experience building intelligent systems that bridge brains, machines, and the physical world. His career spans foundational neuroscience at the Allen Institute—where he led efforts to map visual cortical circuitry and developed end-to-end experimental and software workflows—to commercializing brain- and wearable-computer interfaces as a founder and computational neuroscientist. He has applied multi-modal ML to EMG, IMU, audio, video and text streams, improving model performance through principled engineering (data augmentation, input heads, train/test alignment) for low-footprint, high-intelligence products. Now at Meta, he brings a rare combination of hands-on pipeline and tooling development, large-scale experimental rigor, and product-focused ML deployment. Equally at home with synapses and model architectures, he pairs a PhD in behavioral neuroscience with practical startup and industry impact.
10 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.) Neurobiology, Master of Science (M.S.) Neurobiology at University of Science and Technology of China
Doctor of Philosophy (Ph.D.) Psychology Behavioral Neuroscience, Doctor of Philosophy (Ph.D.) Psychology Behavioral Neuroscience at University of Connecticut
Chinese, English