Research
Read how they describe their research on their University of British Columbia profile.
Latest papers
Traceback: A Proposed Framework to Increase Identification and Genetic Counseling of BRCA1 and BRCA2 Mutation Carriers Through Family-Based Outreach.
Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2017
Quality of life and patient-reported outcomes in endometrial cancer clinical trials: a call for action!
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2014 · senior author
Latest funding
- $104,000
Learning Structured Models: Theory, Algorithms, and Quantum Oracles
NSERC · 2023 · Principal investigator
- $300,000
Convex optimization for inverse problems
NSERC · 2017 · Principal investigator
- $83,705
Large-scale optimization: algorithm design and analysis
NSERC · 2013 · Principal investigator
2 publications.
Traceback: A Proposed Framework to Increase Identification and Genetic Counseling of BRCA1 and BRCA2 Mutation Carriers Through Family-Based Outreach.
Samimi G, Bernardini MQ, Brody LC, Caga-Anan CF, Campbell IG, Chenevix-Trench G, Couch FJ, Dean M, de Hullu JA, Domchek SM, Drapkin R, Spencer Feigelson H, Friedlander M, Gaudet MM, Harmsen MG, Hurley K, James PA, Kwon JS, Lacbawan F, Lheureux S, Mai PL, Mechanic LE, Minasian LM, Myers ER, Robson ME, Ramus SJ, Rezende LF, Shaw PA, Slavin TP, Swisher EM, Takenaka M, Bowtell DD, Sherman ME
Quality of life and patient-reported outcomes in endometrial cancer clinical trials: a call for action!
Joly F, McAlpine J, Nout R, Åvall-Lundqvist E, Shash E, Friedlander M, Gynaecologic Cancer InterGroup (GCIG)
Learning Structured Models: Theory, Algorithms, and Quantum Oracles
Principal investigators: Friedlander, Michael
Keywords: mathematical optimization; large-scale convex optimization; structured optimization; statistical learning; mathematical programming; quantum computing
Convex optimization for inverse problems
Principal investigators: Friedlander, Michael
Large-scale optimization: algorithm design and analysis
Principal investigators: Friedlander, Michael
Dynamic Nonlinear Optimization for Imaging in Seismic Exploration (DNOISE)
Principal investigators: Herrmann, Felix
Large-scale numerical optimization
Principal investigators: Friedlander, Michael
Large-scale nonlinear optimization
Principal investigators: Friedlander, Michael
Dynamic non-linear optimization for imaging in seismic exploration (DNOISE)
Principal investigators: Herrmann, Felix
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Jessica Mcalpine and Michael Friedlander: 1 shared paper
- Stephanie Lheureux and Michael Friedlander: 1 shared paper
- Obstetrics and Gynecology
- Medical Oncology
- Other
Co-authors at University of British Columbia, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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Profile data last refreshed on September 27, 2026 from the university directory, publication records and CIHR, NSERC and SSHRC funding.