Jason is a Senior Applied ML Scientist at Cerebras Systems with deep expertise in developing diverse model architectures, including computer vision and attention-based models. He holds a PhD in physics from UC San Diego and has been working in the deep learning field since 2011, with previous roles at Intel and Qualcomm.
Jasons academic background includes a fascinating transition from physics into computational neuroscience. His post-doctoral work at UC Berkeley focused on developing retinal implants to restore vision in blind patients, showcasing a passion for applying complex science to impactful, real-world health challenges and improving human life.
His post-doctoral research involved modeling intracellular responses in mouse retina tissue to help develop vision-restoring implants.
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