# PyData London 2026

> 72 verified speakers from this event's public agenda.

- Location: London, United Kingdom
- Date: 2026-06-05
- Event site: https://pydata.org/london2026
- Agenda we sourced from: https://pretalx.com/pydata-london-2026/schedule/
- Organizer: PyData London / NumFOCUS

## Verified speakers

- [Carol Chen](https://speakerstrail.com/speakers/carol-chen) — "Learn to Unlock Document Intelligence with Open-Source AI"
  Source: https://pretalx.com/pydata-london-2026/talk/9PPVRK/
- [Cedric Clyburn](https://speakerstrail.com/speakers/cedric-clyburn) — "What Can LLMs Do with Messy Residential Electrification Data?"
  Source: https://pretalx.com/pydata-london-2026/talk/TL88MJ/
- [Laura Summers](https://speakerstrail.com/speakers/laura-summers) — "The Human-in-the-Loop is Tired"
  Source: https://pretalx.com/pydata-london-2026/talk/3YH3WF/
- [Marco Gorelli](https://speakerstrail.com/speakers/marco-gorelli) — "The Polars vs SQL differences nobody is talking about"
  Source: https://pretalx.com/pydata-london-2026/talk/HPJR9B/
- [Luca Baggi](https://speakerstrail.com/speakers/luca-baggi) — "Reading the Mind of an LLM"
  Source: https://pretalx.com/pydata-london-2026/talk/AYDUBL/
- [Özge Çinko](https://speakerstrail.com/speakers/ozge-cinko) — "LLM-Based Recommendation Systems: From Embeddings to Real Personalization"
  Source: https://pretalx.com/pydata-london-2026/talk/HAYANG/
- [Cheuk Ting Ho](https://speakerstrail.com/speakers/cheuk-ting-ho) — "Unconference- Feminist AI", "Do you know how well your model is doing? Evaluate your LLMs"
  Source: https://pretalx.com/pydata-london-2026/talk/8SWJS9/
- [Jacob Tomlinson](https://speakerstrail.com/speakers/jacob-tomlinson) — "Documenting your open source projects for machines"
  Source: https://pretalx.com/pydata-london-2026/talk/3MAU9W/
- [Katrina Riehl](https://speakerstrail.com/speakers/katrina-riehl) — "GPU Algorithm Authoring with CUDA Tile"
  Source: https://pretalx.com/pydata-london-2026/talk/DBGAND/
- [Chris Fonnesbeck](https://speakerstrail.com/speakers/chris-fonnesbeck) — "PyMC Code Sprint", "Flexible Statistical Modeling with Bayesian Additive Regression Trees"
  Source: https://pretalx.com/pydata-london-2026/talk/BUEZSA/
- [Sam Joseph](https://speakerstrail.com/speakers/sam-joseph) — "Python Leadership and Engineering Excellence BoF"
  Source: https://pretalx.com/pydata-london-2026/talk/AV3A3W/
- [Theo van Kraay](https://speakerstrail.com/speakers/theo-van-kraay) — "Designing Semantic Memory for Multi-Agent Systems with Python"
  Source: https://pretalx.com/pydata-london-2026/talk/JFJFQX/
- [Ines Montani](https://speakerstrail.com/speakers/ines-montani) — "Vibe NLP for Applied NLP"
  Source: https://pretalx.com/pydata-london-2026/talk/CJGBGV/
- [Adam Hill](https://speakerstrail.com/speakers/adam-hill) — "From Chat-with-PDF to Quiz-Master: Live-Grading RAG with LLM-as-Judge in Python"
  Source: https://pretalx.com/pydata-london-2026/talk/QQWDVQ/
- [Lena Shakurova](https://speakerstrail.com/speakers/lena-shakurova) — "Evaluating multi-turn conversations: A practical guide to AI Agent evals"
  Source: https://pretalx.com/pydata-london-2026/talk/8Y9GRD/
- [Sofia Pinto](https://speakerstrail.com/speakers/sofia-pinto) — "Mapping the local heat transition: from large-scale geospatial data to real-world impact"
  Source: https://pretalx.com/pydata-london-2026/talk/CKV8PH/
- [Fred O'Loughlin](https://speakerstrail.com/speakers/fred-o-loughlin) — "Making tech boring to keep data exciting"
  Source: https://pretalx.com/pydata-london-2026/talk/AMGUEK/
- [Tun Shwe](https://speakerstrail.com/speakers/tun-shwe) — "Observing Agentic AI in Production: MCP Server Tracing with OpenTelemetry and Animal Crossing"
  Source: https://pretalx.com/pydata-london-2026/talk/APYSNR/
- [Mingxuan Zhao](https://speakerstrail.com/speakers/mingxuan-zhao) — "Learn to Unlock Document Intelligence with Open-Source AI"
  Source: https://pretalx.com/pydata-london-2026/talk/9PPVRK/
- [Gergely Daroczi](https://speakerstrail.com/speakers/gergely-daroczi) — "SELECT instance FROM cloud WHERE workload = ? ORDER BY cost_efficiency"
  Source: https://pretalx.com/pydata-london-2026/talk/ABYV3J/
- [Samuel Colvin](https://speakerstrail.com/speakers/samuel-colvin) — "Keynote: Samuel Colvin: Pydantic Monty & Logfire: Wild LLMs, from tool calling to computer use"
  Source: https://pretalx.com/pydata-london-2026/talk/TAWYHU/
- [Dragos Crintea](https://speakerstrail.com/speakers/dragos-crintea) — "Making Databases LLM-Ready: Building Production Semantic Layers with Semantido"
  Source: https://pretalx.com/pydata-london-2026/talk/YFYXAC/
- [Abby Tse](https://speakerstrail.com/speakers/abby-tse) — "Learn to Unlock Document Intelligence with Open-Source AI"
  Source: https://pretalx.com/pydata-london-2026/talk/9PPVRK/
- [Fei Phoon](https://speakerstrail.com/speakers/fei-phoon) — "Observing Agentic AI in Production: MCP Server Tracing with OpenTelemetry and Animal Crossing"
  Source: https://pretalx.com/pydata-london-2026/talk/APYSNR/
- [Oreolorun Olu-Ipinlaye](https://speakerstrail.com/speakers/oreolorun-olu-ipinlaye) — "Building a Browser Agent from Scratch: Teach an LLM to Navigate the Web"
  Source: https://pretalx.com/pydata-london-2026/talk/ZAR8AG/
- [Nabin Mulepati](https://speakerstrail.com/speakers/nabin-mulepati) — "From Synthetic Examples to Production Signals: Multimodal Training Data Pipelines with Privacy-Safe Feedback"
  Source: https://pretalx.com/pydata-london-2026/talk/HC3SLQ/
- [Lipika Ramaswamy](https://speakerstrail.com/speakers/lipika-ramaswamy) — "From Synthetic Examples to Production Signals: Multimodal Training Data Pipelines with Privacy-Safe Feedback"
  Source: https://pretalx.com/pydata-london-2026/talk/HC3SLQ/
- [Niek Tax](https://speakerstrail.com/speakers/niek-tax) — "Beyond ML Model Calibration: Hands-On Multicalibration with MCGrad"
  Source: https://pretalx.com/pydata-london-2026/talk/SKBDNF/
- [Nicolas Makaroff](https://speakerstrail.com/speakers/nicolas-makaroff) — "Hands-On with Tabular Foundation Models: From Zero to Strong Baselines"
  Source: https://pretalx.com/pydata-london-2026/talk/WDQZLR/
- [Nick Radcliffe](https://speakerstrail.com/speakers/nick-radcliffe) — "Test-Driven Data Analysis"
  Source: https://pretalx.com/pydata-london-2026/talk/MRKKWJ/
- [Oriol Abril Pla](https://speakerstrail.com/speakers/oriol-abril-pla) — "PyMC Code Sprint", "Model criticism through posterior predictive checks"
  Source: https://pretalx.com/pydata-london-2026/talk/BUEZSA/
- [Rachel Lee Nabors](https://speakerstrail.com/speakers/rachel-lee-nabors) — "Keynote- Rachel Lee Nabors- The Community Is the Boat"
  Source: https://pretalx.com/pydata-london-2026/talk/PUL99Q/
- [Margaritha Groenendijk](https://speakerstrail.com/speakers/margaritha-groenendijk) — "The Rules Nobody Writes Down: Decoding and Shifting Team Culture From Any Seat"
  Source: https://pretalx.com/pydata-london-2026/talk/V3D3LS/
- [Kamlesh Shah](https://speakerstrail.com/speakers/kamlesh-shah) — "Columnar Thinking - Designing for high-performance execution with Arrow and Polars"
  Source: https://pretalx.com/pydata-london-2026/talk/WGJMXV/
- [Ian Thomas](https://speakerstrail.com/speakers/ian-thomas) — "JupyterLite: run all your code in a web browser using WebAssembly"
  Source: https://pretalx.com/pydata-london-2026/talk/NVXBEM/
- [Jeremiah Lowin](https://speakerstrail.com/speakers/jeremiah-lowin) — "Keynote- Jeremiah Lowin- Build Reasonable Software"
  Source: https://pretalx.com/pydata-london-2026/talk/QU33NS/
- [Daniele Raimondi](https://speakerstrail.com/speakers/daniele-raimondi) — "Building a Scientific Taxonomy at Scale with Graph Clustering, Embeddings, and LLMs"
  Source: https://pretalx.com/pydata-london-2026/talk/ZFR8VH/
- [Feichi Lu](https://speakerstrail.com/speakers/feichi-lu) — "Building a Scientific Taxonomy at Scale with Graph Clustering, Embeddings, and LLMs"
  Source: https://pretalx.com/pydata-london-2026/talk/ZFR8VH/
- [Samuel Jaja](https://speakerstrail.com/speakers/samuel-jaja) — "Building Production Multi-Agent RAG Systems on Serverless AWS"
  Source: https://pretalx.com/pydata-london-2026/talk/RQ3FJQ/
- [Prattyush Mangal](https://speakerstrail.com/speakers/prattyush-mangal) — "Production-Ready AI Agents: From LLMs to Small Language Models"
  Source: https://pretalx.com/pydata-london-2026/talk/3JJHZF/
- [Austen Wallis](https://speakerstrail.com/speakers/austen-wallis) — "Fast-Forward(ing) Models: Accelerating High-Dimensional Inference with AI Emulators"
  Source: https://pretalx.com/pydata-london-2026/talk/J99JNR/
- [Ivo Dilov](https://speakerstrail.com/speakers/ivo-dilov) — "Bridging Pandas and Polars: The Hidden Costs of Dataframe Interoperability"
  Source: https://pretalx.com/pydata-london-2026/talk/YYTLFF/
- [Sujee Maniyam](https://speakerstrail.com/speakers/sujee-maniyam) — "Using coding agents with open models"
  Source: https://pretalx.com/pydata-london-2026/talk/HBPSDS/
- [Arthur Andres](https://speakerstrail.com/speakers/arthur-andres) — "Kafka Streaming, the Pythonic Way"
  Source: https://pretalx.com/pydata-london-2026/talk/BPJEKV/
- [Ken Obata](https://speakerstrail.com/speakers/ken-obata) — "Beyond Spark MLlib: Deduplicating Common Crawl at Scale"
  Source: https://pretalx.com/pydata-london-2026/talk/T7GMEL/
- [Viktor Kessler](https://speakerstrail.com/speakers/viktor-kessler) — "Governance-as-Code for the Lakehouse: Zero Trust with Iceberg REST Catalog and Policy Engines"
  Source: https://pretalx.com/pydata-london-2026/talk/8JJUKQ/
- [Neal Richardson](https://speakerstrail.com/speakers/neal-richardson) — "MCP, or not MCP"
  Source: https://pretalx.com/pydata-london-2026/talk/QMGS7U/
- [Daina Bouquin](https://speakerstrail.com/speakers/daina-bouquin) — "Build your castle, dig your moat: AI sovereignty, provenance and compliance"
  Source: https://pretalx.com/pydata-london-2026/talk/T7BQTG/
- [Ono Gantsog](https://speakerstrail.com/speakers/ono-gantsog) — "From Noisy Sensors to Events: Event Detection in Sensor data with Kalman Filters and Hidden Markov Models"
  Source: https://pretalx.com/pydata-london-2026/talk/EQZ7VK/
- [Simran Dave](https://speakerstrail.com/speakers/simran-dave) — "Mapping the local heat transition: from large-scale geospatial data to real-world impact"
  Source: https://pretalx.com/pydata-london-2026/talk/CKV8PH/
- [Nathaniel Forde](https://speakerstrail.com/speakers/nathaniel-forde) — "Hazards on the Causal Path: Bayesian Time-Varying Survival Analysis with PyMC"
  Source: https://pretalx.com/pydata-london-2026/talk/A38MW7/
- [Benjamin Vincent](https://speakerstrail.com/speakers/benjamin-vincent) — "Did Your Rollout Actually Work? Measuring Phased Launches with Staggered DiD in Python"
  Source: https://pretalx.com/pydata-london-2026/talk/H7PFXK/
- [Kavit Tolia](https://speakerstrail.com/speakers/kavit-tolia) — "Do Multilingual Embeddings Really Share a Semantic Space? Practical Lessons Across Scripts and Languages"
  Source: https://pretalx.com/pydata-london-2026/talk/JWNWFQ/
- [Gabriel Lipnik](https://speakerstrail.com/speakers/gabriel-lipnik) — "Your ML Pipeline Meets the EU AI Act"
  Source: https://pretalx.com/pydata-london-2026/talk/NMFNQJ/
- [Hitendri Bomble](https://speakerstrail.com/speakers/hitendri-bomble) — "The Silent Crash: Why Your RAG Evaluation Metrics Are Lying to You"
  Source: https://pretalx.com/pydata-london-2026/talk/MMS9WY/
- [Arghyadeep Sarkar](https://speakerstrail.com/speakers/arghyadeep-sarkar) — "The Silent Crash: Why Your RAG Evaluation Metrics Are Lying to You"
  Source: https://pretalx.com/pydata-london-2026/talk/MMS9WY/
- [Martin O'Reilly](https://speakerstrail.com/speakers/martin-o-reilly) — "Keynote- Martin O'Reilly- LLMs and AI agents demystified"
  Source: https://pretalx.com/pydata-london-2026/talk/XQXNVK/
- [Matt Crooks](https://speakerstrail.com/speakers/matt-crooks) — "AI-Assisted Creative for Automated Marketing using Python"
  Source: https://pretalx.com/pydata-london-2026/talk/GBGB9X/
- [Paddy Mullen](https://speakerstrail.com/speakers/paddy-mullen) — "The Future of Notebooks in a Claude Code World**"
  Source: https://pretalx.com/pydata-london-2026/talk/KDWRYR/
- [Julie Huang](https://speakerstrail.com/speakers/julie-huang) — "Tesco AI & Data Science: From Recipes to Reality"
  Source: https://pretalx.com/pydata-london-2026/talk/BGNZLQ/
- [Kareem Hussein](https://speakerstrail.com/speakers/kareem-hussein) — "Tesco AI & Data Science: From Recipes to Reality"
  Source: https://pretalx.com/pydata-london-2026/talk/BGNZLQ/
- [Michel Semaan](https://speakerstrail.com/speakers/michel-semaan) — "Querying the queries: SQL Metaprogramming in Python"
  Source: https://pretalx.com/pydata-london-2026/talk/KQDKTE/
- [Kerry Parker](https://speakerstrail.com/speakers/kerry-parker) — "Making tech boring to keep data exciting"
  Source: https://pretalx.com/pydata-london-2026/talk/AMGUEK/
- [Mark Cottam](https://speakerstrail.com/speakers/mark-cottam) — "Making tech boring to keep data exciting"
  Source: https://pretalx.com/pydata-london-2026/talk/AMGUEK/
- [Ophelie Bleu](https://speakerstrail.com/speakers/ophelie-bleu) — "When Your Dataset Has Blind Spots: Practical LLM-Based Data Augmentation"
  Source: https://pretalx.com/pydata-london-2026/talk/CHQLFU/
- [Dmitry Petrov](https://speakerstrail.com/speakers/dmitry-petrov) — "From SQL to Python: Building Data Context for Agents and People"
  Source: https://pretalx.com/pydata-london-2026/talk/BAFKCL/
- [Damian Bemben](https://speakerstrail.com/speakers/damian-bemben) — "The Clean Energy Graveyard: Using Python & Gemini to Map the UK's Cancelled Renewable's"
  Source: https://pretalx.com/pydata-london-2026/talk/R7UEBE/
- [Alessandra Costantino](https://speakerstrail.com/speakers/alessandra-costantino) — "What We Expect from XAI - A scientist’s experience between models and users"
  Source: https://pretalx.com/pydata-london-2026/talk/9HLYEW/
- [Andrew Igdal](https://speakerstrail.com/speakers/andrew-igdal) — "What Can LLMs Do with Messy Residential Electrification Data?"
  Source: https://pretalx.com/pydata-london-2026/talk/TL88MJ/
- [Thomas Ogden](https://speakerstrail.com/speakers/thomas-ogden) — "No Ropes on a Boat: Coherent Forecasting"
  Source: https://pretalx.com/pydata-london-2026/talk/RTWLPY/
- [James Fielder](https://speakerstrail.com/speakers/james-fielder) — "How to write a PyData proposal"
  Source: https://pretalx.com/pydata-london-2026/talk/LLVVRQ/
- [Maksym Bilychenko](https://speakerstrail.com/speakers/maksym-bilychenko) — "Surviving (and Thriving) as a Data Professional in the Age of AI Agents"
  Source: https://pretalx.com/pydata-london-2026/talk/HNKFP8/

JSON: https://speakerstrail.com/api/v1/events/pydata-london-2026

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