Ike is an applied mathematician specializing in data-driven system identification and dynamical systems modeling. His current work focuses on developing foundation models for wearable sensor data from an information theoretic persepctive and latent dynamical systems modeling approach.
Ike earned his PhD in Applied Mathematics from the University of Washington where he brings a multidisciplinary background spanning reduced-order modeling, feedforward and tracking feedback control, and system identification from limited transient observations.
Beyond research, Ike is an avid outdoor climber with a particular interest in sport and trad.
Search for Ike Griss Salas, PhD's papers on the Research page