Computational Harmonic Analysis and Data Science (19w5061)


(University of California, Davis)

Emmanuel Candes (Stanford University)

Ronald Coifman (Yale University)

(Princeton University)


The Casa Matemática Oaxaca (CMO) will host the "Computational Harmonic Analysis and Data Science" workshop in Oaxaca, from October 27, 2019 to November 1, 2019.

Future progress in science and technology depends crucially on our ability to derive new discoveries and deep understanding from complex and massive datasets.
However, uncertainty, scale, non-stationarity, noise, and heterogeneity are fundamental issues
impeding progress at all phases of the pipeline that creates knowledge from data.
New mathematical challenges arise as current algorithms are in many cases no longer able to keep up
with the numerous demands and changing environments as well as the huge amounts of data that need to be processed and analyzed.
Fundamentally new ideas and approaches are needed and will require a close collaboration between mathematicians, statisticians, computer scientists,
and engineers.
The potential benefits for science and society are manifold, ranging from
A better understanding of data mining and machine learning tools for Big Data and Artificial Intelligence to new scientific discoveries and better tools for medical diagnostics.

The workshop will bring together world leading experts at the intersection of
applied harmonic analysis, machine learning, optimization,
and signal processing to present recent developments and to foster new interactions.
The direct interaction of mathematicians, statisticians, engineers, and computer scientists,
made possible by this workshop, will make for an efficient intellectual feedback loop, which is central to achieving the urgently needed breakthroughs in machine learning and data science.

The Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, are collaborative Canada-US-Mexico ventures that provide an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station in Banff is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT). The research station in Oaxaca is funded by CONACYT