Nathaniel Linden-Santangeli

Systems biology and Uncertainty quantification researcher.

PhD Candidate in Mechanical Engineering with a Specialization in Multiscale Biology

University of California, San Diego

I work on and apply methods that leverage experimental and clinical data to drive new biological discoveries and improve patient care.

My research spans cellular biology, applied mathematics, Bayesian statistics, and machine learning. 

I am a Ph.D. candidate in the Department of Mechanical and Aerospace Engineering and the Interfaces Graduate Training Program at the University of California, San Diego. I work in Boris Kramer's and Padmini Rangamani's labs.

I am planning to graduate in Spring/Summer 2025.

 

Systems Biology

Uncertainty Quantification

Bayesian statistics and machine learning