Stephen Becker is an associate professor of applied mathematics at the University of Colorado Boulder. Previously he was a Herman Goldstine Postdoctoral fellow in Mathematical Sciences at IBM Research in Yorktown Heights, NY, and a postdoctoral fellow via the Fondation Sciences Mathématiques de Paris at Paris 6. He received his PhD in 2011 from Caltech under [Emmanuel Candès]https://candes.su.domains/).
More information about us at people.
- Office telephone: +1 (303) 669 8379
- Office: 338 ECOT (Engineering Center, office tower). For help finding your way to the office tower, see engineering center map.
Please note: this website
amath.colorado.edu/faculty/becker (also mirrored via github pages) may eventually be deprecated in favor of a more homogenous faculty website, but for now this is the website that is updated most often.
My CV is on my CU Experts Profile page.
News! Now hiring for a postdoc position
As part of the new DOE-funded CHaRMNET center for plasma modeling, Professors David Bortz and Stephen Becker are hiring a postdoc to start as early as January 2023. We’re looking for an applicant with expertise in one or more of the following areas:
- data-driven modeling
- equation learning
- reduced order modeling
- sparse regression
- experimental design
- random sampling
- computational plasma physics.
Details at the official job posting.
- Interested in undergrad research with our group? Here are some programs you can use to get funding (typical ones I’ve worked with in the past: UROP, SMART, DLA)
- Our new page on optimization classes and resources at CU
- The RCDS seminar website (for Robotics, Controls, and Dynamical Systems)
- Statistics, Optimization, Machine Learning seminar usually at 3:30 PM every Tuesday in Newton Lab (on pause Fall ‘22 for sabbatical)
As of October 2022, the website is built with Jekyll and we’ll have blog-post style news updates. Here’s a summary of old updates
A similar list of announcements is at the Announcements Page of our Google Site
- Fall 2022, Stephen is on sabbatical at Institut Montpellierain Alexander Grothendieck (IMAG) in Montpellier France. He will return to Boulder by January 2023.
- Call for papers: special issue on Big Scientific Data and Machine Learning in Science and Engineering, submission deadline Feb 1 2022
- Summer internships for 2022
- Kevin at NSA
- Jacob at LLNL
- Summer internships for 2021
- Richie will intern at Argonne national labs
- Liam will intern for IBM Research Dublin again
- Akshay will intern at NIST
- Kevin… TBD
- Erik and Osman will have graduated
- August 2020, Leo defends his PhD thesis
- Stephen will be speaking at the AIMS South Africa Spring School on Mathematics of Data Science in September 2019 ( SIAM article describing AIMS)
- Summer internships for 2020
- Liam is working for IBM Research Dublin
- Osman is working for Fujitsu
- Erik is working for Archer Dx
- Summer internships for 2019
- Zhishen (Leo) Huang at Respond Software
- Richie Clancy at Sensory, Inc
- David Kozak at University of Genova working with Lorenzo Raso (MIT/Genova)
- Osman Malik at IBM Research with Lior Horesh and Misha Kilmer
- April 2019, Matt Maierhofer and Marc Thomson defend their Masters theses
- April 2019, Jessica Gronski and Eric Kightley defend their PhD
- November 2018, Richard Border defends his Masters thesis
- October 2018, James defends his PhD. Congratulations James!
- June 2018, Stephen is a CCIMI Distinguished Visitor at Cambridge, giving a CCIMI short-course
- Summer internships for 2018
- Jessica Gronski at Savvy Sherpa (now United Health Care)
- Eric Kightley at Respond Software
- Leo Huang at USC
- May 2018, Farhad departs to take a tenure-track position in CS at U. Mass Lowell
- January 2018, Stephen is one of four founding members of the Imaging Science IRT
- Spring 2017, Farhad Pourkamali-Anaraki gradautes with his PhD, staying with us for another year as a postdoc
- Spring 2017, Derek Driggs graduates with his MS, heads to Cambrdige in October
- January 2017, group member Derek Driggs (BS/MS) awarded a Cambridge Gates Fellowship (4 year fellowship to Cambridge for a PhD).
- Jan 2017, our group awarded a contract for signal processing algorithms with Northrop Grumman
- May 2016, our group awarded a gift from the Bloomberg data science program
- March 2016, Alex Gittens and Michael Mahoney visit
- March 2016, students have summer internship offers from the following companies:
- July 12 2015, with Michael Grant and Emmanuel Candes, we have won the Beale-Orchard-Hays prize at ISMP 2015
- June 24 2015, selected for 2015 ICML Reviewer award
- Summer 2015, organizing the Workshop on Robust Subspace Learning and Computer Vision RSL-CV at ICCV 2015 (Santiago, Chile).
- Nov. ‘14, we have free software available for our robust PCA algorithm at NIPS 2014 in Montreal.
- Sept. ‘14, two papers accepted at NIPS
- Organizing NIPS 2014 “Out of the box: robustness in high dimension” workshop at NIPS 2014 in Montreal.
Interesting links, updated at least once per decade
- Good color schemes for scientific documents
- CU Math department’s DeLong lecture series
- Google Scholar’s classic papers
- Machine Learning courses at CU
- Update April 2022: see the new ML resources website for info on ML at CU
- CS department colloquium
- Simons Institute youtube channel for interesting talks on a range of subjects
- MMDS Foundation youtube channel for talks on big-data topics
- Gene Golub summer school, 2015 is on randomization in numerical linear algebra
Migrating the website to use jekyll instead of jem-doc. Jem-doc is now about 10 years old and not supported, and finally broke with some python 2 vs python 3 issues. This new jekyll website should display much better on phones.