2024

• Special Session "Mathematics of Machine Learning". 2024 CMS Summer Meeting.  Saskatoon, SK, Canada. May 31-June 3, 2024.

• Minisymposium "Learning High-Dimensional Functions: Approximation, Sampling, and Algorithms", SIAM Conference on Uncertainty Quantification (UQ24). Trieste, Italy. February 27-March 1st, 2024.
  Co-organizers: Nick Dexter (Florida State University), Laura Scarabosio (Radboud University), Wouter van Harten (Radboud University)

2023

• CRM Applied Math Seminar 2023-24. Hybrid, Montréal, QC, Canada.
  Co-organizers: Jason Bramburger (Concordia), Matthieu Cadiot (McGill) and Tim Hoheisel (McGill)

• CMS Winter Meeting 2023. Montréal, QC, Canada. December 1-4, 2023.
  Scientific director with François Bergeron (UQAM) and Alina Stancu (Concordia) 

2022

• CRM Applied Math Seminar 2022-23. Hybrid, Montréal, QC, Canada.
  Co-organized with Jason Bramburger (Concordia) and Damien Tageddine (McGill) and Matthieu Cadiot (McGill)

• Session "Mathematics of machine learning", 2022 CMS Winter meeting. Toronto, ON, Canada. December 2-5, 2022
  Co-organizers: B. Adcock (SFU), G. Tran (U Waterloo), H. Usefi (Memorial)

• Session "Scientific Machine Learning", 2022 CMS Summer Meeting. St. John's, NL, Canada. June 3-6, 2022.
  Co-organizers: B. Adcock (SFU), A. Bihlo (Memorial), H. Usefi (Memorial)

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

2021

• CRM Applied Math Seminar. Hybrid,  2021-22
  Co-organizers: T. Hoheisel (McGill), D. Tageddine (McGill)

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

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

• 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)

2020

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

2019

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

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

2018

• 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). 

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

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

(MS = Minisymposium)

2024

• McGill Statistics seminar. Montréal, QC, Canada. November 15, 2024.

• 2024 CAIMS-SCMAI Annual Meeting. Kingston, ON, Canada. June 24-27, 2024.
  Session: "Advancing Scientific computing through recent High-Performance Computing paradigms"

• CNRS-CRM-ILLS (International Lab of Learning Systems) Seminar. May 24, 2024.

• STATQAM Seminar. Université du Québec à Montréal. Montréal, QC, Canada. March 21, 2024.

• SIAM Conference on Uncertainty Quantification (UQ24). Trieste, Italy. February 27-March 1st, 2024.
  Session: "Learning High-Dimensional Functions: Approximation, Sampling, and Algorithms"

• BIRS Workshop "Structured Machine Learning and Time–Stepping for Dynamical Systems". Banff, AB, Canada. February 18-23, 2024. [Video]

2023

• CMS Winter Meeting 2023. Montréal, QC, Canada. December 1-4, 2023
  Session: "Mathematics of Machine Learning"

• 10th International Congress on Industrial and Applied Mathematics (ICIAM 2023), MS: “Black box methods for efficient learning in high-dimensional scientific computing”. Tokyo, Japan. August 21, 2023 (Online)

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

• Mathematics Colloquium of the Gran Sasso Science Institute. L'Aquila, Italy. June 1st, 2023.

• CNRS-CRM-ILLS (International Lab of Learning Systems) Seminar. Montréal, Canada. May 18, 2023.

• Seminar of the Biomedical Imaging for Healthy Aging Laboratory. Concordia University, Montréal, QC, Canada. March 30, 2023.

• φ-MAC Seminar, McMaster University. Online. March 10, 2023

• Colloque des sciences mathématiques du Québec, Centre de Recherches Mathématiques (CRM). Montréal, QC, Canada. February 10, 2023. [Video]

2022

• Mathematics of Information, Learning and Data (MILD) Seminar. The University of British Columbia. Vancouver, BC, Canada. December 12, 2022

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

• One World Seminar Series on the Mathematics of Machine Learning. Online. November 16, 2022 [Video]

• Colloquium of the Department of Scientific Computing, Florida State University. Tallahassee, Florida, U.S., November 9, 2022

• CRM Harmonic Analysis Seminar. Montréal, QC, Canada. October 18, 2022

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

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

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

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

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

2021

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

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

2020

• 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.

2019

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

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

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

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

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

2018

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

• 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”. 

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

2017

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

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

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

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

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

2016

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

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

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

• 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”. 

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

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

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

2015

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

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

• 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 

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

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

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

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

• BIRS Workshop "Uncertainty Quantification in Neural Network Models". Banff, AB, Canada. February 16 - 21, 2025 (Invited)

• Interdisciplinary AI Forum. Concordia University, Montréal, QC, Canada. April 18, 2024. (Invited)

• CogSci 2020 Virtual Meeting. July 31, 2020. 

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

• Gran Sasso Science Institute, Italy, October 9-13, 2023
  Hosts: Nicola Guglielmi and Francesco Tudisco

• Michigan State University, US, July 31-August 4, 2023
  Host: Mark Iwen

• Gran Sasso Science Institute, Italy, May 30-June 1st, 2023
  Hosts: Nicola Guglielmi and Francesco Tudisco

• Pacific Institute for the Mathematical Sciences (PIMS), University of British Columbia, December 12-14, 2022
  Hosts: Yaniv Plan and Ozgur Yilmaz

• Hausdorff Research Institute for Mathematics, Universität Bonn, Germany, February 15-27, 2016
  Trimester program “Mathematics of Signal Processing”

• Department of Mathematics, RWTH Aachen University, Germany, September 14-18, 2015
  Hosts: Wolfgang Dahmen and Holger Rauhut

• Visiting Ph.D. student at CSQI - MATHICSE, EPFL, Switzerland, Fall 2014
  Supervisor: Fabio Nobile

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

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