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. 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.