Humans are capable of performing awe-inspiring feats of agility by drawing from a vast repertoire of diverse and sophisticated motor skills. This dynamism is sharp contrast to the narrowly specialized and rigid behaviors commonly exhibited by artificial agents in both simulated and real-world domains. How can we create agents that are able to replicate the agility, versatility, and diversity of...

Abstract: Inferring the structure and dynamical interactions of complex biological systems is critical to understanding and controlling their behavior. I am interested in discovering mechanistic and informative models, assuming I have time-series data of important state variables and knowledge of the possible types of interactions between state variables. The problem is then selecting which...

Novel protein sequences arise through mutation. These mutations may be deleterious, beneficial, or neutral; the effect of a mutation on an organism’s evolutionary fitness is reflected in whether an organism survives long enough for its proteins to be sampled and deposited in a sequence database. Bioinformatics has long sought to use this evolutionary signal, commonly in the form of Multiple...

In this talk Prof. Pardo discusses recent work in bootstrapping learning of a scene segmentation model using acoustic cues known to be used in human audition. This allows learning a model without access to ground-truth decompositions of acoustic scenes.

Join the Jacobs Institute for Design Innovation and the Berkeley Master of Design (MDes) program for the 2021 Winter Design Showcase. We invite all students to join us in celebrating student work and accomplishments, including work from our courses, student clubs, and the Innovation Catalysts grant recipients. This semester's Showcase will include an extra day focused on MDes courses and...

I will present our work on dynamical modeling, decoding, and control of multiscale brain network activity toward restoring lost motor and emotional function in brain disorders.