User:Petros Zantis/sandbox

= Matt Jacobs =

Matthew Jacobs is an applied mathematician at the University of California, Los Angeles. He currently holds the position of Assistant Adjunct Professor in the Department of Mathematics. His main research interests include Calculus of Variations, Optimization, Numerical methods, PDEs, Optimal Transport, Fluid Mechanics, Free boundary problems, GANs.

Education
Matt Jacobs received his B.A. with honors in Mathematics from Columbia University in 2011. He then went on to receive his PhD in Mathematics from the University of Michigan in 2017.

== Awards and Honours ==


 * IDRE Postdoctoral Fellowship in 2019. This is a research fellowship awarded annually to 4-5 UCLA postdocs across all divisions.
 * First Place at the University of Michigan Mobile Apps Challenge. UM App design competition with 30+ entrants.
 * Second place at MHacks refactor in 2016, the Grand Prize at HackNTU in 2015 and Grand Prize at MHacks V in 2015. These were all multi-university programming competitions with 1000+ participants.

Teaching
Some of the classes taught by Professor Jacobs at UCLA were:


 * Math 273a (Graduate Optimization)
 * Math 156 (Machine Learning)
 * Math 182 (Algorithms)
 * Math 164 (Optimization)

Squigglish! (iOS app)
Squigglish! is an app that automatically animates any line drawing. Squigglish! has been featured in The Verge and has been downloaded over 100,000 times.

Sketch Anything (iOS app)
Sketch Anything uses the power of Fourier series and image processing to take any image and create step by step drawing guides. Sketch Anything won the grand prize at MHacks V and first place in the UM mobile apps challenge.

== Selected Publications ==


 * [pdf ] Jacobs, M.; Leger, F.; Li, W.; Osher, O. Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid Size. SIAM Journal on Numerical Analysis, Volume 57 Issue 3, May 2019, Pages 1100–1123.
 * [pdf ] Jacobs, M.; Merkurjev, E.; Esedoglu, S. Auction dynamics: a volume constrained MBO scheme. Journal of Computational Physics, Volume 354, 1 February 2018, Pages 288-310.
 * [pdf ] Esedoglu, S.; Jacobs, M. Convolution kernels and stability of threshold dynamics methods. SIAM Journal on Numerical Analysis, Volume 55 Issue 5, September 2017, Pages 2123- 2150.
 * [pdf ] Jacobs, M. A fast MBO scheme for multiclass data classification. Accepted to the Sixth International Conference on Scale Space and Variational Methods in Computer Vision.
 * [pdf ] Esedoglu, S.; Jacobs, M.; Zhang, P. Kernels with prescribed surface tension & mobility for threshold dynamics schemes. Journal of Computational Physics, Volume 337, 15 May 2017, Pages 62-83.