Talks and presentations

• Best practices and advice for using AI in research and writing, Goldschmidt 2026 Conference
• Causal climate emulation, "Machine Learning for Climate Science" Session, EGU General Assembly 2025 (Highlight)
• Predicting Subjective Sleep Quality Using Recurrent Neural Networks, 2019 IEEE Signal Processing in Medicine and Biology Symposium

• An AI-driven approach to enhancing wildfire representation and climate feedbacks in the UVic-ESCM v2.10, "Spatial and Temporal Dynamics of Wildfires: Models, Theory, and Reality" Session, EGU General Assembly 2026
• Learning Causal Representations of Climate Model Data, "Advances in Emulating Earth System Models" Session, AGU General Assembly 2024
• Brain-wide Electrophysiological Atlas, Cosyne 2024
• Towards Causal Representations of Climate Model Data, "Tackling Climate Change with Machine Learning" Workshop, NeurIPS 2023
• Density-based Neural Decoding using Spike Localization for Neuropixels Recordings, Cosyne 2023
• Robust multiband drift estimation in electrophysiology data, Cosyne 2023
• Decentralized motion inference and registration of Neuropixels data, Cosyne 2021

• Causal Climate Emulation, AI in Climate and Environmental Sciences Group Presentation, KIT, 2026
• Causal Climate Emulation, ARCHES Group Presentation, INRIA Paris, 2025
• Learning Causal Representations of Climate Model Data, LEAP Machine Learning Journal Club, Columbia University, 2024
• DARTsort: A modular drift tracking spike sorter for high-density multi-electrode probes, Harris Lab, Janelia, 2023
• DARTsort: A modular drift tracking spike sorter for high-density multi-electrode probes, Neurotheory Seminar, Center for Theoretical Neuroscience, Columbia University, 2023
• Three-dimensional spike localization and improved motion correction for Neuropixels recordings, Neurotheory Seminar, Center for Theoretical Neuroscience, Columbia University, 2021