Inferring Time-Variant Catchment Hydrologic Function Using a Bayesian Copula State Space Model | Department of Earth, Ocean and Atmospheric Sciences

Faculty of Science Department of Earth, Ocean and Atmospheric Sciences

Inferring Time-Variant Catchment Hydrologic Function Using a Bayesian Copula State Space Model

Oct 5 2026 10:00AM - 12:00PM

ESB 5104

Thesis Defense

Defense Level: MSc Thesis Defense

Speaker: Helen Weierbach

Supervised by: Ali Ameli

Nov 6 9:30AM - 12:30PM

Graduate Student Centre - Room 203

Thesis Defense

Examining the utility of hyperspectral optics for characterizing phytoplankton taxonomy, physiology, and ocean biogeochemistry

PhD Thesis Defense

Speaker: Sacchidanandan Pillai

Supervised by: Philippe Tortell

Oct 19 10:00AM - 12:00PM

Graduate Student Centre - Room 200

Thesis Defense

Spatio-temporal progression of orogenesis and plateau development in the central Andes: A four-dimensional view from basin analysis and stable isotope paleoaltimetry

PhD Thesis Defense

Speaker: Samuel Martin

Supervised by: Joel Saylor

Oct 16 4:00 - 7:00PM

Graduate Student Centre - Room 203

Thesis Defense

Leveraging Transport Theory to Advance Machine Learning for Weather Forecasting

PhD Thesis Defense

Speaker: Siddharth Rout

Supervised by: Eldad Haber