Events

"The world of mathematics is both broad and deep,
and we need birds and frogs working together to explore it."

From "Birds and Frogs" by Freeman Dyson

Upcoming events

Organized scientific events

  1. CRM Applied Math Seminar 2022-23
    Co-organized with Jason Bramburger (Concordia) and Damien Tageddine (McGill)

Research talks and seminars

  1. SIAM Conference on Mathematics of Data Science (MDS22). San Diego, California, U.S., September 26-30, 2022
    Minisymposium "Deep learning and sparse approximation for high-dimensional problems in data science"

  2. Pacific Rim Mathematical Association (PRIMA) 2022 Congress. Vancouver, BC, Canada. December 4-9, 2022
    Special Session: "Mathematics of Information"

  3. INdAM Workshop “Learning for Inverse Problems”. Rome, Italy. June 5-9, 2023

Note: Do not hesitate to send me an e-mail if you would like me to share the slides of any of my talks with you.

Past Events

Organized scientific events

xi. Session "Scientific Machine Learning", 2022 CMS Summer Meeting. St. John's, NL, Canada. June 3-6, 2022.

x. Mini-course "Sublinear-Time Algorithms for Approximating Functions of Many Variables" by Mark Iwen. CRM, Montréal, QC, Canada. May 16-18, 2022.

ix. CRM Applied Math Seminar. Hybrid, Montréal, QC, Canada. Winter 2022
Co-organizers: T. Hoheisel (McGill), D. Tageddine (McGill)

viii. CRM Applied Math Seminar. Online, Fall 2021
Co-organizers: T. Hoheisel (McGill), D. Tageddine (McGill)

vii. Session "Mathematical Foundations of Machine Learning", CSM Winter Meeting 2021. Online, 2-7 December 2021.
Co-organizer: Ben Adcock (SFU)

vi. CRM Applied Math Seminar. Online, Winter 2021
Co-organizers: T. Hoheisel (McGill), J.-P. Lessard (McGill), D. Tageddine (McGill)

v. ICERM Hot Topics Workshop "Safety and Security of Deep Learning". April 10-11, 2021 [Videos and slides]
Co-organizers: B. Adcock (SFU), A. Hansen (Cambridge), C.G. Webster (U. Tennessee)

iv. Minisymposium "The Mathematics of Sparse Recovery and Machine Learning", 2nd Joint SIAM-CAIMS Annual Meeting 2020. July 16, 2020.
Co-organizer: B. Adcock (SFU).

iii. Minisymposium “Sparse Recovery and Machine Learning in Computational Mathematics”, CAIMS Annual Meeting 2019. Whistler, BC, Canada. June 9, 2019.
Co-organizer: Yifan Sun (UBC).

ii. SFU Postdoc Research Day 2019. Burnaby, BC, Canada. March 28, 2019.
Co-organizers: Executive Council of the SFU Postdoctoral Association.

i. Session “Sparse recovery, learning, and neural networks”, CMS Winter meeting 2018. Vancouver, BC, Canada. December 8-9, 2018.
Co-organizers: Ben Adcock (SFU), Ozgur Yilmaz (UBC), and Yaniv Plan (UBC).

Invited plenary lectures

ii. AARMS CRG Scientific Machine Learning Workshop "Mathematical Foundations of Scientific Machine Learning". St. John's, NL, Canada. June 1, 2022

i. 2022 ISM Graduate Student Conference. Quebec City, May 28, 2022

Invited research talks and seminars

xxx. Curves and Surfaces 2022. Arcachon, France. June 20, 2022. MS: "Random matrices and approximation using function values"

xxix. Departmental Research Seminar, Dept. of Mathematics and Statistics, Concordia University. Montréal, QC, Canada. April 22, 2022.

xxviii. Applied Mathematics Seminar, University of Ottawa. March 30, 2022.

xxvii. AARMS Scientific Machine Learning Seminar. Online, March 8, 2022.

xxvi. 6th ECCOMAS Young Investigators Conference (YIC2021). MS: "Isogeometric and Non-standard Discretization Schemes for Computational Structural and Solid Mechanics". Online, July 7-9, 2021.

xxv. One World Mathematics of INformation, Data, and Signals (1W-MINDS) Seminar. Online, May 13, 2021. [Video]

xxiv. 2nd Joint SIAM-CAIMS Annual Meeting 2020. Workshop Celebrating Diversity. July 6-10, 2020.

[Cancelled due to Covid-19] Foundations of Computational Mathematics. MS: “Multiresolution and Adaptivity in Numerical PDEs”. Vancouver, BC, Canada. June 15-17, 2020.

[Cancelled due to Covid-19] SIAM Conference on Uncertainty Quantification. MS: “Deep learning and sparse approximation for high-dimensional problems in uncertainty quantification”. Munich, Germany. March 24-27, 2020.

xxiii. Dept. of Mathematics and Statistics Seminar, Concordia University. Montréal, QC, Canada. October 11, 2019.

xxii. CRM Applied Mathematics Seminar, Fall 2019. Montréal, QC, Canada. September 9, 2019.

xxi. Applied Inverse Problems Conference 2019. MS: “Compressed sensing meets inverse problems”. Grenoble, France. July 8-12, 2019.

xx. IMA 19th Leslie Fox Prize Symposium. Glasgow, Scotland. June 24, 2019. (Awarded a Leslie Fox prize, 2nd place) [Report]

xix. DASIV Spring School “Models and Data”, University of South Carolina. Columbia, SC, U.S., March 20, 2019. [Video]

xviii. PIMS Workshop on the Mathematical Foundations of Data Science. Vancouver, BC, Canada. August 1, 2018.

xvii. International Conference on Spectral and High Order Methods (ICOSAHOM) 2018. London, United Kingdom. July 9–13, 2018.MS: “Sparsity-based methods for high-dimensional approximation in uncertainty quantification”.

xvi. BIRS workshop “Numerical Analysis and Approximation Theory meets Data Science”. Banff, AB, Canada. April 22–27, 2018. (Invited) [Video]

xv. 1st Biennial Meeting of SIAM Pacific Northwest Section. Corvallis, OR, U.S. October 28, 2017. Thematic session: “Inverse Problems, Optimization, and Compressed Sensing”.

xiv. BIRS workshop “Retreat for Young Researchers in Stochastics”. Banff, AB, Canada. October 22, 2017.

xiii. ENUMATH 2017. Voss, Norway. September 27, 2017. MS: “Generalized Sampling, Reduced Order Modeling, and Sparse Recovery”.

xii. Symposium on Mathematics and Computation. Simon Fraser University, Burnaby, BC, Canada. Au- gust 17, 2017.

xi. QUIET 2017. SISSA International School for Advanced Studies, Trieste, Italy. July 20, 2017. Workshop “Quantification of Uncertainty: Improving Efficiency and Technology”.

x. SCAIM (Scientific Computing, Applied and Industrial Mathematics) Seminar, University of British. Columbia. Vancouver, BC, Canada. November 29, 2016.

ix. PIMS-CSC Seminar, Dept. of Mathematics, Simon Fraser University. Burnaby, BC, Canada. September 30, 2016.

viii. BIRS workshop “Retreat for Young Researchers in Stochastics”. Banff, AB, Canada. September 24, 2016.

vii. SIMAI (Società Italiana per la Matematica Applicata e Industriale) congress. Milano, Italy. September 15, 2016. MS: “Advanced Numerical Methods for Partial Differential Equations and Applications”.

vi. SIAM Conference on Uncertainty Quantification. EPFL, Switzerland. April 6, 2016. MS “Sparse Techniques for High-dimensional UQ Problems and Applications”.

v. Workshop “Low Complexity Models in Signal Processing”. Hausdorff Research Institute for Mathematics, Germany. February 18, 2016.

iv. MATHICSE Seminar. EPFL, Lausanne, Switzerland. January 27, 2016.

iii. Seminar at the Dept. of Informatics, University of Pisa, Italy. December 15, 2015.

ii. Seminar at the Dept. of Mathematics, RWTH Aachen University, Germany. September 15, 2015.

i. 13th US National Congress on Computational Mechanics. San Diego, CA, U.S. July 29, 2015. MS: Model and Solution Reduction Methods for Direct and Inverse Problems in Computational Mechanics

Contributed talks

iv. SPARS 2017. Lisbon, Portugal. July 8, 2017. (Selected for oral session)

iii. Postdoc Research Day. Simon Fraser University, Burnaby, BC, Canada. March 30, 2017. (Awarded runner-up spotlight talk)

ii. 20th UMI (Unione Matematica Italiana) congress. Siena, Italy. September 8, 2015. MS “Metodi numerici per le equazioni alle derivate parziali”.

i. SIMAI (Società Italiana per la Matematica Applicata e Industriale) congress, contributed session. Taormina, Italy. July 8, 2014

Contributed posters

ii. CogSci 2020 Virtual Meeting. July 31, 2020.

i. Workshop “Low Complexity Models in Signal Processing”. Hausdorff Research Institute for Mathematics, Germany. February 18, 2016.

Other events

ii. Panel discussion “Finding your way in the Canadian academic job market”, PIMS Calgary Postdoctoral Social Network event, April 26, 2021.

i. Panel discussion "Navigating Postdocs", SFU 7th Postdoc Research Day, March 30, 2021.