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Personal bio
Ziv Lautman is a PhD candidate in bioengineering whose research sits at the intersection of human physiology, wearable technology, and AI. He develops personalized, interpretable models using continuous biometric data such as heart rate variability, temperature, and sleep metrics to enable early detection of disease and dynamic health monitoring. Ziv is the recipient of Stanford Graduate Fellowship in Science and Engineering and Stanford's Human-Centered Artificial Intelligence Graduate Fellow. Prior to Stanford, he co-founded environmental health startup that predicted air quality levels at scale and was acquired by Google. Under his leadership, the company became a global pioneer in air pollution modeling, built large-scale partnerships with Fortune 500 companies, bringing air quality data into billions of devices. Currently teaching |