# Michael P. Friedlander

> Computer Science and Mathematics researcher

**Wikidata**: [Q59750109](https://www.wikidata.org/wiki/Q59750109)  
**Source**: https://4ort.xyz/entity/michael-p-friedlander

## Summary
Michael P. Friedlander is a computer scientist and mathematics researcher, recognized for his significant theoretical and applied contributions to convex and nonconvex optimization. He is a professor at the University of British Columbia and was named a Fellow of the Society for Industrial and Applied Mathematics in 2024.

## Biography
- Education: Doctor of Philosophy (Ph.D.) from Stanford University (September 1, 1997 – August 30, 2002)
- Known for: Theoretical and applied contributions to convex and nonconvex optimization
- Employer(s): University of British Columbia (professor since July 1, 2004)
- Field(s): Computer Science, Mathematics, Optimization

## Contributions
Michael P. Friedlander has made significant theoretical and applied contributions to the field of convex and nonconvex optimization. His expertise in developing and analyzing algorithms for these complex mathematical problems is a cornerstone of his research. This work has been formally recognized by his election as a Fellow of the Society for Industrial and Applied Mathematics (SIAM) in 2024, an honor bestowed for his profound impact on the field. Beyond his direct research, Friedlander has played a crucial role in academic development as a professor at the University of British Columbia since 2004. In this capacity, he has mentored and advised numerous doctoral students, including Ives Macedo, Ewout van den Berg, and Gabriel Goh, guiding their research in advanced computational methods. His contributions thus encompass both the advancement of fundamental optimization theory and the cultivation of new talent, ensuring the continued evolution and application of these essential techniques across various scientific and industrial domains.

## FAQs
### Q: What is Michael P. Friedlander's primary area of research?
A: Michael P. Friedlander's primary area of research involves theoretical and applied contributions to convex and nonconvex optimization. This work focuses on developing and analyzing algorithms for complex mathematical problems.

### Q: Where is Michael P. Friedlander employed?
A: Michael P. Friedlander is employed as a professor at the University of British Columbia, a position he has held since July 1, 2004.

### Q: Has Michael P. Friedlander received any notable awards or recognition?
A: Yes, Michael P. Friedlander was named a Fellow of the Society for Industrial and Applied Mathematics (SIAM) on March 28, 2024, for his contributions to convex and nonconvex optimization.

### Q: What is Michael P. Friedlander's educational background?
A: Michael P. Friedlander earned his Doctor of Philosophy (Ph.D.) degree from Stanford University, completing his studies between September 1, 1997, and August 30, 2002.

## Why They Matter
Michael P. Friedlander's work holds significant importance due to his foundational contributions to convex and nonconvex optimization, a field critical for solving complex problems across diverse sectors. His research provides the theoretical underpinnings and practical algorithms that enable advancements in areas such as artificial intelligence, data analytics, engineering, and scientific computing. The recognition of his work through his election as a Fellow of the Society for Industrial and Applied Mathematics (SIAM) in 2024 highlights his standing as a leading expert whose insights have shaped the discipline. This distinction signifies that his contributions are not merely academic but have tangible impacts on how computational challenges are approached and overcome. As a professor at the University of British Columbia since 2004, and as a doctoral advisor to students like Ives Macedo, Ewout van den Berg, and Gabriel Goh, Friedlander also plays a vital role in educating and inspiring the next generation of computer scientists and mathematicians. His mentorship ensures that his expertise and the broader field of optimization continue to evolve and address future challenges, making his influence both profound and enduring.

## Notable For
*   Fellow of the Society for Industrial and Applied Mathematics (2024) for contributions to convex and nonconvex optimization.
*   Professor at the University of British Columbia since 2004.
*   Doctoral advisor to multiple students, including Ives Macedo, Ewout van den Berg, and Gabriel Goh.
*   Holds a Ph.D. from Stanford University.

## Body

### Personal Information
*   **Name:** Michael P. Friedlander
*   **Aliases:** Michael Friedlander, Michael Paul Friedlander
*   **Sex:** Male
*   **Instance of:** Human

### Education
*   **Doctoral Degree:** Doctor of Philosophy (Ph.D.)
*   **Institution:** Stanford University
*   **Dates:** September 1, 1997 – August 30, 2002
*   **Doctoral Advisor:** Michael Saunders

### Career
*   **Employer:** University of British Columbia
*   **Role:** Professor
*   **Start Date:** July 1, 2004

### Research and Expertise
*   **Fields:** Computer Science, Mathematics
*   **Research Focus:** Theoretical and applied contributions to convex and nonconvex optimization.

### Awards and Recognition
*   **Award:** Fellow of the Society for Industrial and Applied Mathematics
*   **Date Awarded:** March 28, 2024
*   **Reason:** For theoretical and applied contributions to convex and nonconvex optimization.

### Mentorship
*   **Doctoral Students:**
    *   Ives Macedo
    *   Ewout van den Berg
    *   Gabriel Goh

### Professional Affiliations
*   **Member of:** Society for Industrial and Applied Mathematics (Fellow since March 28, 2024)

### Identifiers
*   **ISNI:** 0000000112934263
*   **VIAF ID:** 164755495
*   **MR Author ID:** 760959
*   **DBLP Author ID:** 51/5930
*   **Google Scholar Author ID:** mOgIIH4AAAAJ
*   **Library of Congress Authority ID:** no2019118331
*   **Mathematics Genealogy Project ID:** 61027

### Distinctions
*   **Different from:** Michael W. Friedlander

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## References

1. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-0222-5222/education/6190156)
2. Mathematics Genealogy Project
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-0222-5222/employment/4400194)
4. [Source](https://siam.org/prizes-recognition/fellows-program/all-siam-fellows/class-of-2024)
5. [Source](https://sinews.siam.org/Details-Page/announcing-the-2024-class-of-siam-fellows)