Stephen Becker is an associate professor of applied mathematics at the University of Colorado Boulder, with courtesy appointments in the Electrical, Computer and Energy Engineering and Computer Science departments. 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, and bachelor’s degrees in math and physics from Wesleyan University.
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.
CU press release on the plasma project. MSU press release as well.
Proud member of the Math Alliance and pround ally of Spectra
- 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)
- For CU A&S students, see A&S student funding opportunities
- For CU engineering students, see CEAS student funding opportunities
- 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
- Summer internships for 2023
- Kevin at Institute for Defense Analyses (La Jolla, CA)
- Jacob returning to LLNL
- Akshay at NTT Research (Sunnyvale, CA)
- Ibrohim at Courant Institute (NYC)
- 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:
- Technicolor research (Bay Area), Farhad Pourkamali-Anaraki
- Sandia National Lab with Tamara Kolda, Jessica Gronski
- ICR, James Folberth
- 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
Switched to Jekyll for website
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.