Systems biology and uncertainty quantification researcher.
Specializes in Bayesian inference, mathematical modeling and machine learning.
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 applied mathematics, Bayesian statistics, cellular biology, 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.