Conferences

Talks and presentations I have delivered at statistics and data science conferences, listed by year.

2026

Ghashti, J. S., Hare, W., and Thompson, J. R. J. Distributionally constrained clustering via optimal transport with applications to fairness. 19th Conference of the International Federation of Classification Societies (IFCS); Milan, Italy. (Invited Speaker)

Ghashti, J. S., Hare, W., and Thompson, J. R. J. Spectral clustering under distributional constraints via optimal transport with fairness-aware applications. 2026 Statistical Society of Canada (SSC) Annual Meeting; Hamilton, ON, Canada. (Contributed Speaker)

2025

Ghashti, J. S., Hare, W., and Thompson, J. R. J. Fairness-aware variable-weighted adjacency construction for spectral clustering of mixed-type data. Institution of Mathematical Statistics (IMS) International Conference on Statistics and Data Science; Sevilla, Spain. (Contributed Speaker)

Ghashti, J. S., Hare, W., and Thompson, J. R. J. Incorporating group fairness in a variable-weighted adjacency construction for spectral clustering. 19th International Joint Conference on Computational and Financial Economics and Computational and Methodological Statistics (CFE-CMStatistics 2025); Birkbeck, University of London, UK. (Contributed Speaker)

Ghashti, J. S., and Thompson, J. R. J. A kernelized similarity framework for clustering mixed-type data. Institution of Mathematical Statistics (IMS) International Conference on Statistics and Data Science; Vancouver, BC, Canada. (Contributed Speaker)

Ghashti, J. S., and Thompson, J. R. J. Mixed-type fuzzy clustering using kernel distance metrics. Institution of Mathematical Statistics (IMS) International Conference on Statistics and Data Science; Vancouver, BC, Canada. (Invited Speaker)

2024

Ghashti, J. S. An examination of post-Covid Canadian financial wellness survey data with kernel metric learning for mixed-type attributes. Symposium on World Economics, Finance and Business 2024; Singapore. (Invited Speaker)

Ghashti, J. S., Andrews, J. L., and Thompson, J. R. J. A bootstrap augmented k-means algorithm for parameter-free fuzzy clustering. 2024 Classification Society Annual Meeting; Kelowna, BC, Canada. (Contributed Speaker)

Ghashti, J. S., Andrews, J. L., and Thompson, J. R. J. A bootstrap augmented k-means algorithm for fuzzy partitions. 2024 Statistical Society of Canada (SSC) Annual Meeting; St. John’s, NL, Canada. (Contributed Speaker)

Ghashti, J. S., Andrews, J. L., and Thompson, J. R. J. A bootstrap augmented k-means algorithm for fuzzy partitions. The Twelfth Annual Canadian Statistics Student Conference; St. John’s, NL, Canada. (Poster Presentation)

2023

Ghashti, J. S., and Thompson, J. R. J. The complexity of financial wellness: examining survey patterns via kernel metric learning and clustering of mixed-type data. 4th ACM International Conference on AI in Finance; Brooklyn, NY. (Poster Presentation)