Talks

• 09/2024 Time Series forecasting with NumPyro, PyData Amsterdam 2024, Amsterdam, Netherlands. Slides

• 05/2024 Fast & Efficient Gaussian Processes, Learning Bayesian Statistics.

• 04/2024 A conceptual and practical introduction to Hilbert Space Gaussian Process (HSGP) approximation methods, PyConDE & PyData Berlin 2024, Berlin, Germany. Slides

• 11/2023 The Secret To Smarter Marketing?, CausalBanditsPodcast.com, Causal Python with Alex Molak.

• 05/2023 Bayesian Methods in Modern Marketing Analytics, PyMC Labs webinar. Slides

• 03/2023 Media Mix Models: A Bayesian Approach with PyMC, Artificial Intelligence Association of Lithuania. Slides

• 10/2022 Offline Campaign Analysis Measurement: A journey through causal impact, geo-experimentation and synthetic control, Data Science at Wolt, Helsinki Data Science Meetup, Helsinki, Finland.

• 07/2022 Introduction to Bayesian Modeling with PyMC, PyCon Colombia 2022. Slides

• 05/2022 Podcast: Data Talks Club: Machine Learning in Marketing for DataTalks.Club

• 04/2022 Introduction to Uplift Modeling, PyCon DE & PyData Berlin 2022, Berlin, Germany. Slides

• 10/2021 Exploring Tools for Interpretable Machine Learning, PyData Global 2021. Slides

• 09/2020 Gaussian Processes for Time Series Forecasting with Applications in Scikit-Learn, Second Symposium on Machine Learning and Dynamical Systems 2020, The Fields Institute for Research in Mathematical Sciences.

• 10 /2019 Gaussian Process for Time Series Analysis, PyCon DE & PyData 2019, Berlin, Germany. Slides

• 07/2018 On Laplacian Eigenmaps for Dimensionality Reduction, PyData Berlin 2018, Berlin, Germany. Slides