# Presentations & Talks Conference presentations, talks, and podcast appearances that were recorded > **Dmitry Bagaev, PhD** — Senior Software Engineer & Scientist, based in Eindhoven, the Netherlands. > [bvdmitri@gmail.com](mailto:bvdmitri@gmail.com) · [GitHub](https://github.com/bvdmitri) · [LinkedIn](https://linkedin.com/in/bvdmitri) · [Google Scholar](https://scholar.google.com/citations?user=zjfAwAEAAAAJ&hl=en) > > This page is one section of my auto-generated personal site. See the [overview](/index.md) for a full summary and links to the other sections. ## PyData Eindhoven @ BrightCape **Event:** PyData Eindhoven @ BrightCape • 2026 Large language models are powerful, but when asked for facts or numerical answers, they can hallucinate with surprising confidence. Is there a way to fix that? Watch: https://www.youtube.com/watch?v=s4hwHTJ9SMU --- ## PyData 2025 Opening **Event:** PyData Eindhoven 2025 • 2025 I've been opening the 2026 edition of PyData happening in Eindhoven at High Tech Campus. The event hosted 300+ people with 25+ speakers. The opening followed an awesome keynote from Maurits Hendriks, an olympic gold winning coach, talking about data analytics in sports. Watch: https://www.youtube.com/watch?v=-FelfEVBgcY&list=PLGVZCDnMOq0qE4NA_fkVLZABsRs8waMVC&index=2 --- ## What's Wrong with Active Inference and How Lazy Dynamics Is Set to Solve It **Event:** ActInf ModelStream 017.1 • 2025 Analysis of current limitations in active inference frameworks and introduction of Lazy Dynamics as a solution approach **Tags:** Active Inference, Lazy Dynamics Watch: https://www.youtube.com/watch?v=pwfJQRN6iIc&pp=ygUNRG1pdHJ5IEJhZ2Fldg%3D%3D --- ## Learning Bayesian Statistics Podcast - Guest Appearance **Event:** Learning Bayesian Statistics Podcast • 2024 Guest appearance discussing Bayesian inference methodologies and reactive programming applications in statistical computing **Tags:** Bayesian Inference, Podcast, Reactive Programming Watch: https://youtu.be/ZG3H0xxCXTQ?si=5Lb2scvHIQdVbFH5 --- ## RxInfer.jl updates and development **Event:** 4th Applied Active Inference Symposium • 2024 Overview of RxInfer.jl updates, ongoing development milestones, and key takeaways from the symposium. **Tags:** RxInfer.jl, Bayesian Inference Watch: https://www.youtube.com/watch?v=geITY8aJJEA --- ## RxInfer.jl: A Package for Real-Time Bayesian Inference **Event:** JuliaCon 2023 • 2023 Technical overview of RxInfer.jl package capabilities for real-time Bayesian inference and message passing **Tags:** RxInfer.jl, Julia, Bayesian Inference Watch: https://www.youtube.com/watch?v=qXrvDVm_fnE&t=1s&pp=ygUNRG1pdHJ5IEJhZ2Fldg%3D%3D --- ## Enacting Ecosystems of Shared Intelligence **Event:** 3rd Applied Active Inference Symposium • 2023 Discussion of collaborative intelligence systems and their implementation through active inference principles **Tags:** Active Inference, Collaborative Intelligence Watch: https://www.youtube.com/watch?v=PVeyvHSAwmk&t=5484s&pp=ygUNRG1pdHJ5IEJhZ2Fldg%3D%3D --- ## Building Smarter AI: Active Inference & Nested Models **Event:** Active Inference Conference • 2023 Joint presentation with de Vries, Friedman, and Pashea on active inference frameworks and nested hierarchical modeling approaches **Tags:** Active Inference, Nested Models, AI Watch: https://www.youtube.com/watch?v=u3w24FtAsKw&pp=ygUNRG1pdHJ5IEJhZ2Fldg%3D%3D --- ## GraphPPL.jl: A Package for Specification of Probabilistic Models **Event:** JuliaCon 2022 • 2022 Introduction to GraphPPL.jl package for declarative specification of probabilistic graphical models **Tags:** GraphPPL.jl, Julia, Probabilistic Programming Watch: https://www.youtube.com/watch?v=N3zs6Ya57v4&pp=ygUNRG1pdHJ5IEJhZ2Fldg%3D%3D --- ## Fast Bayesian Inference with RxInfer.jl **Event:** Julia User Group Munich • 2022 Performance demonstration and practical examples of Bayesian inference workflows using RxInfer.jl **Tags:** RxInfer.jl, Bayesian Inference, Julia Watch: https://www.youtube.com/watch?v=KuluqEzFtm8&t=3142s&pp=ygUNRG1pdHJ5IEJhZ2Fldg%3D%3D --- ## Implementing Active Inference by Message Passing in a Factor Graph **Event:** ActInf ModelStream #004.1 • 2021 Implementation details of active inference algorithms using factor graph message passing techniques **Tags:** Active Inference, Factor Graphs, Message Passing Watch: https://www.youtube.com/watch?v=uePR4DQv0yI&pp=ygUNRG1pdHJ5IEJhZ2Fldg%3D%3D --- ## ReactiveMP.jl: Reactive Message Passing-based Bayesian Inference **Event:** JuliaCon 2021 • 2021 Technical introduction to ReactiveMP.jl framework for reactive message passing algorithms in Bayesian inference **Tags:** ReactiveMP.jl, Julia, Bayesian Inference Watch: https://www.youtube.com/watch?v=twhTsKsXa_8&t=6s&pp=ygUNRG1pdHJ5IEJhZ2Fldg%3D%3D --- ## Rocket.jl: A Julia package for reactive programming **Event:** JuliaCon 2020 • 2020 Overview of Rocket.jl package for reactive programming patterns and asynchronous data processing in Julia **Tags:** Rocket.jl, Julia, Reactive Programming Watch: https://www.youtube.com/watch?v=5UVwzzWeCm8&pp=ygUNRG1pdHJ5IEJhZ2Fldg%3D%3D --- ## Additional Presentations Various presentations at local meetups and events that weren't recorded, including talks on Julia programming, Bayesian inference, and reactive programming at developer meetups and academic seminars. --- ## Other pages - **Overview:** / — or /index.md for markdown format - **Experience:** /experience — or /experience.md for markdown format - **Education:** /education — or /education.md for markdown format - **Software:** /software — or /software.md for markdown format - **Publications:** /publications — or /publications.md for markdown format - **Hobbies:** /hobbies — or /hobbies.md for markdown format