List of talks and presentations

2024

  • Cattolica University of the Sacred Hearth, Milan, Italy - Compressive Bayesian non-negative matrix factorization for mutational signature analysis. - Invited seminar

  • ICSDS2024, Nice, France - Compressive Bayesian non-negative matrix factorization for mutational signature analysis. - Contributed talk

  • ISBA2024, Venice, Italy - Compressive Bayesian non-negative matrix factorization for mutational signature analysis. - Invited talk

  • ISBA2024, Venice, Italy - Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors. - Poster

2023

  • CMstat2023, Berlin, Germany - Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors. - Invited talk

  • EcoSta2023, Tokyo, Japan - Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors. - Invited talk

  • NESS2023, Boston, MA, USA - Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors. - Invited talk

2022

  • CMstat2022, London, UK - Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa. - Invited talk

  • BNP13, Puerto Varas, Chile - Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors. - Poster

  • ISBA2022, Montreal, Canada - Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa. - Poster

  • Luomos SYKE Machine Learning seminar II, Virtual - Taxonomic classification methods for DNA sequences. - Contributed talk

2021

  • ISBA2021, virtual - Bayesian modeling of sequential discoveries. - Contributed talk

  • ISBA2021, virtual - Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa. - Contributed talk

Sessions organized and chaired

  • ISBA2024, Venice, Italy. Organizer and chair of Bayesian methods in Ecology, invited session . Speakers:
    • Bokgyeong Kang, Duke University - Analyzing whale calls through Hawkes processes modeling.
    • Michele Peruzzi, University of Michigan - Bayesian multi-species N-mixture models for large scale spatial data in community ecology.
    • Narmadha M. Mohankumar, Pacific Northwest National Lab. - Using machine learning to model nontraditional spatial dependence in occupancy data.

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