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Harsh is a graduate student studying Biocomputation and AI at Harvard and Georgia Tech. His work is a long shot. But if it works, it stands to provide a dramatic breakthrough in computing, enabling us to better prevent the outbreak of diseases by improving forecasting. Harsh also has a long-standing history of making stuff. He built a kind of Pinterest for ML models and an automated reading assessment tool. This mixture of researcher and hacker is a rare and powerful combo.
AI that’s inspired by biological principles from neuroscience
Harsh is building AI that’s inspired by biological principles from neuroscience. The algorithms will be applicable in disease diagnosis, robotics, synthetic biology, environmental sensing, and other complex problem spaces.