Jack Baskin Engineering

Presenter: Dr. Pulkit Dubey, Postdoc, UC Santa Cruz Description: Neural climate emulators such as NeuralGCM and LUCIE offer efficient, differentiable alternatives to General Circulation Models (GCMs), producing climate predictions at a fraction of the cost. While work to date has focused largely on predictive accuracy, we leverage differentiability to study control of long-horizon climatological targets. […]

Presenter: Marcos Calegari Andrade, Assistant Professor, Chemistry and Biochemistry, UC Santa Cruz Description: In this talk, I will demonstrate how neural networks can represent the high-dimensional potential energy surfaces of many-body systems. By achieving the accuracy of first-principles quantum calculations at a fraction of the computational cost, these models enable atomistic simulations of condensed matter […]

Presenter: Riddhiman Bhattacharya, Postdoc, UCSC Description: We propose an active learning approach for dynamic fair resource allocation problems. In contrast to prior work that assumes full feedback from all agents on their allocations, we focus on scenarios where feedback is available only from a carefully select subset of agents at each epoch of the online […]

Presenter: Dr. Aw, Department of Genetics, University of Pennsylvania Description: Admixed groups consist of individuals descended from two or more historically separated ancestral populations, and they are underrepresented in biomedical studies. Admixed individuals are unique in that they carry mosaics of ancestral segments within their genome, so their genetic information is typically summarized as a […]