Yaniv Plan Named Winner of UBC Math and PIMS Faculty Award
PIMS is happy to announce that Yaniv Plan has been named the winner of the 2016 UBC Mathematics and Pacific Institute for the Mathematical Sciences Faculty Award. This award was created by two founding donors, Darrell Duffie and the late Anton Kuipers, to recognize UBC researchers for their leading work in mathematics research and its real-world applications to science. Dr Yaniv Plan is the second recipient of this award, following in the footsteps of Dr. Rachel Ollivier, our inaugural winner in 2015.
Yaniv Plan earned his PhD in Applied and Computational Mathematics from the California Institute of Technology in 2011 under the supervision of Emmanuel Candes. He went on to the University of Michigan as an NSF Posdoctoral Fellow and Hildebrandt Assistant Professor, then joined the UBC Faculty of Science in 2014.
Professor Plan's research has connections to machine learning, probability, signal processing, and information theory. He has made pivotal discoveries in compressive sensing, low-rank matrix recovery in the presence of noise, and high-dimensional data analysis. He is often cited for his unique ability to do mathematics that is both practical and theoretical, while at the same time, deep and computationally relevant.
As part of the award, winners are invited to give a prestigious lecture on their work. We will post the lecture date on our website and across social media once a venue and time have been selected. It will be a wonderful talk from a leader in mathematics, and we look forward to hearing about his research and how it intersects with science.
Congratulations, Yaniv!
Yaniv Plan earned his PhD in Applied and Computational Mathematics from the California Institute of Technology in 2011 under the supervision of Emmanuel Candes. He went on to the University of Michigan as an NSF Posdoctoral Fellow and Hildebrandt Assistant Professor, then joined the UBC Faculty of Science in 2014.
Professor Plan's research has connections to machine learning, probability, signal processing, and information theory. He has made pivotal discoveries in compressive sensing, low-rank matrix recovery in the presence of noise, and high-dimensional data analysis. He is often cited for his unique ability to do mathematics that is both practical and theoretical, while at the same time, deep and computationally relevant.
As part of the award, winners are invited to give a prestigious lecture on their work. We will post the lecture date on our website and across social media once a venue and time have been selected. It will be a wonderful talk from a leader in mathematics, and we look forward to hearing about his research and how it intersects with science.
Congratulations, Yaniv!