Nick is a biostatistician who uses statistical modeling and machine learning to study infectious diseases. He earned his PhD in Biostatistics from Harvard in 2025, where he developed Bayesian and spatiotemporal models to better understand disease patterns and population health. His work includes projects on syndromic surveillance, wastewater-based outbreak detection, and small-area population estimation.

Outside of research, he enjoys cooking, playing guitar, watching musicals, and cuddling with cats.

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