# PyData Amsterdam 2026 > 70 verified speakers from this event's public agenda. - Location: Amsterdam, Netherlands - Date: 2026-09-10 - Event site: https://amsterdam.pydata.org/ - Agenda we sourced from: https://pretalx.com/pydata-amsterdam2026/schedule/ - Organizer: PyData Amsterdam / NumFOCUS ## Verified speakers - [Iryna Kondrashchenko](https://speakerstrail.com/speakers/iryna-kondrashchenko) — "Deterministic Orchestration for ML Experiments with Coding Agents" Source: https://pretalx.com/pydata-amsterdam2026/talk/KRSRVM/ - [Oleh Kostromin](https://speakerstrail.com/speakers/oleh-kostromin) — "Deterministic Orchestration for ML Experiments with Coding Agents" Source: https://pretalx.com/pydata-amsterdam2026/talk/KRSRVM/ - [Theodore Meynard](https://speakerstrail.com/speakers/theodore-meynard) — "Cold Start at Scale: Three Years of Experiments in a Travel Marketplace" Source: https://pretalx.com/pydata-amsterdam2026/talk/EXBMZD/ - [Laura Summers](https://speakerstrail.com/speakers/laura-summers) — "Mothering the Machine" Source: https://pretalx.com/pydata-amsterdam2026/talk/7PX99N/ - [Andy Kitchen](https://speakerstrail.com/speakers/andy-kitchen) — "Mothering the Machine" Source: https://pretalx.com/pydata-amsterdam2026/talk/7PX99N/ - [Luca Baggi](https://speakerstrail.com/speakers/luca-baggi) — "Inside the Mind of an LLM" Source: https://pretalx.com/pydata-amsterdam2026/talk/NPZNKA/ - [Özge Çinko](https://speakerstrail.com/speakers/ozge-cinko) — "LLM Evaluation in Production: A/B Testing and Observability" Source: https://pretalx.com/pydata-amsterdam2026/talk/QCHL8T/ - [Kader Miyanyedi](https://speakerstrail.com/speakers/kader-miyanyedi) — "LLM Evaluation in Production: A/B Testing and Observability" Source: https://pretalx.com/pydata-amsterdam2026/talk/QCHL8T/ - [Cheuk Ting Ho](https://speakerstrail.com/speakers/cheuk-ting-ho) — "Do you know how well your model is doing? Evaluate your LLMs" Source: https://pretalx.com/pydata-amsterdam2026/talk/R3KMAB/ - [Anders Bogsnes](https://speakerstrail.com/speakers/anders-bogsnes) — "Taking Flight: Zero-Copy Data Transfer at Scale with Apache Arrow Flight and Friends" Source: https://pretalx.com/pydata-amsterdam2026/talk/NTQMFY/ - [Jeroen Janssens](https://speakerstrail.com/speakers/jeroen-janssens) — "The modern tool builder: CLIs, agents, and PEP 723" Source: https://pretalx.com/pydata-amsterdam2026/talk/B8BRSA/ - [Thijs Nieuwdorp](https://speakerstrail.com/speakers/thijs-nieuwdorp) — "The New Polars Engine That Tackles Megabyte to Terabyte Workloads" Source: https://pretalx.com/pydata-amsterdam2026/talk/MKAK8X/ - [Jay Alammar](https://speakerstrail.com/speakers/jay-alammar) — "From LLMs to Agents and from words to actions" Source: https://pretalx.com/pydata-amsterdam2026/talk/RXAHBU/ - [Maarten Grootendorst](https://speakerstrail.com/speakers/maarten-grootendorst) — "From LLMs to Agents and from words to actions" Source: https://pretalx.com/pydata-amsterdam2026/talk/RXAHBU/ - [Giampaolo Casolla](https://speakerstrail.com/speakers/giampaolo-casolla) — "From Query to Discovery: Building an AI Agent That Helps Travelers Explore" Source: https://pretalx.com/pydata-amsterdam2026/talk/Y7CCXA/ - [Steven Mi](https://speakerstrail.com/speakers/steven-mi) — "From Query to Discovery: Building an AI Agent That Helps Travelers Explore" Source: https://pretalx.com/pydata-amsterdam2026/talk/Y7CCXA/ - [Belle Bruinsma](https://speakerstrail.com/speakers/belle-bruinsma) — "The Context Trap: Addressing Item Neglect and Calibration in Deep Point-Wise Rankers" Source: https://pretalx.com/pydata-amsterdam2026/talk/MDCKAF/ - [Akhila Vangara](https://speakerstrail.com/speakers/akhila-vangara) — "The Context Trap: Addressing Item Neglect and Calibration in Deep Point-Wise Rankers" Source: https://pretalx.com/pydata-amsterdam2026/talk/MDCKAF/ - [Laura Israel](https://speakerstrail.com/speakers/laura-israel) — "The Context Trap: Addressing Item Neglect and Calibration in Deep Point-Wise Rankers" Source: https://pretalx.com/pydata-amsterdam2026/talk/MDCKAF/ - [Konstantinos Tsoumas](https://speakerstrail.com/speakers/konstantinos-tsoumas) — "Maybe 3 Minutes, Maybe Chaos – when Conformal Prediction meets my commuting life" Source: https://pretalx.com/pydata-amsterdam2026/talk/XDZ3HW/ - [Jeroen Nelen](https://speakerstrail.com/speakers/jeroen-nelen) — "A/B Testing Plenary Debates in the Dutch Parliament with Multi-Agent AI using LangGraph" Source: https://pretalx.com/pydata-amsterdam2026/talk/Z87GCU/ - [Dror A. Guldin](https://speakerstrail.com/speakers/dror-a-guldin) — "Your A/B Test Is Leaking: Practical Lessons in Measuring Network Effects" Source: https://pretalx.com/pydata-amsterdam2026/talk/B9QGMW/ - [Nadieh Bremer](https://speakerstrail.com/speakers/nadieh-bremer) — "Amidst the Visualization and Art of Data" Source: https://pretalx.com/pydata-amsterdam2026/talk/VFY7MA/ - [Leonardo Amorim](https://speakerstrail.com/speakers/leonardo-amorim) — "Beyond the Holdout: Mitigating Censoring Bias with Asymmetric IPW" Source: https://pretalx.com/pydata-amsterdam2026/talk/WBBVBF/ - [Pauline van Nies](https://speakerstrail.com/speakers/pauline-van-nies) — "Beyond Benchmarks: Optimizing LLMs and Puzzle Agents for Cryptic Crosswords" Source: https://pretalx.com/pydata-amsterdam2026/talk/VYG7HY/ - [Graziano Montanaro](https://speakerstrail.com/speakers/graziano-montanaro) — "DuckLake: The Lakehouse That Finally Embraces the Database" Source: https://pretalx.com/pydata-amsterdam2026/talk/ADK8J8/ - [Kai Jeggle](https://speakerstrail.com/speakers/kai-jeggle) — "Embed First, Predict Later: Energy forecasting from weather embeddings" Source: https://pretalx.com/pydata-amsterdam2026/talk/9GR8L8/ - [Niels van Galen Last](https://speakerstrail.com/speakers/niels-van-galen-last) — "When Context Breaks: Recursive Language Models with DSPy" Source: https://pretalx.com/pydata-amsterdam2026/talk/SPZLFK/ - [Csanád Bakos](https://speakerstrail.com/speakers/csanad-bakos) — "Real-time vs Batch Features for ML: Lessons from Fraud Detection at Scale" Source: https://pretalx.com/pydata-amsterdam2026/talk/ABUNQA/ - [Marijn Markus](https://speakerstrail.com/speakers/marijn-markus) — "Enhance: Feeding the World with Data through Multi-Objective Optimization" Source: https://pretalx.com/pydata-amsterdam2026/talk/BE9HP3/ - [Christiaan Erdbrink](https://speakerstrail.com/speakers/christiaan-erdbrink) — "A short tour of forgotten Machine Learning algorithms" Source: https://pretalx.com/pydata-amsterdam2026/talk/GDUDY8/ - [Jodie Burchell](https://speakerstrail.com/speakers/jodie-burchell) — "Reliable, rigorous, wrong: A psychometric view of LLM evals" Source: https://pretalx.com/pydata-amsterdam2026/talk/DK7SZW/ - [Ricardo Angel Granados Lopez](https://speakerstrail.com/speakers/ricardo-angel-granados-lopez) — "Grounding AI Agents in Your Data Model" Source: https://pretalx.com/pydata-amsterdam2026/talk/CHWKKQ/ - [Schelto Crone](https://speakerstrail.com/speakers/schelto-crone) — "The unreasonable effectiveness of DAS: ML on fiber-optic vibration data for rail monitoring" Source: https://pretalx.com/pydata-amsterdam2026/talk/HDXACL/ - [Joost van 't Schip](https://speakerstrail.com/speakers/joost-van-t-schip) — "The unreasonable effectiveness of DAS: ML on fiber-optic vibration data for rail monitoring" Source: https://pretalx.com/pydata-amsterdam2026/talk/HDXACL/ - [Thijs Bressers](https://speakerstrail.com/speakers/thijs-bressers) — "Your dashboard is too late: Building real-time KPI alerting systems with Python" Source: https://pretalx.com/pydata-amsterdam2026/talk/GUDRCR/ - [Rutger Lit](https://speakerstrail.com/speakers/rutger-lit) — "Scaling Two-Way Fixed Effects Models in Python with pyfixest: Lessons from Airline Pricing" Source: https://pretalx.com/pydata-amsterdam2026/talk/FAAVMX/ - [Oz Mendelsohn](https://speakerstrail.com/speakers/oz-mendelsohn) — "Distilling LLMs into Classical ML for 5,000+ Classes" Source: https://pretalx.com/pydata-amsterdam2026/talk/YPZA7R/ - [Christophe Blefari](https://speakerstrail.com/speakers/christophe-blefari) — "Analytics future" Source: https://pretalx.com/pydata-amsterdam2026/talk/UAKVAE/ - [Alexander Kern](https://speakerstrail.com/speakers/alexander-kern) — "Data First, Model Second: Three Strategies for Production Computer Vision" Source: https://pretalx.com/pydata-amsterdam2026/talk/UPGM73/ - [Guus van der Ham](https://speakerstrail.com/speakers/guus-van-der-ham) — "Data First, Model Second: Three Strategies for Production Computer Vision" Source: https://pretalx.com/pydata-amsterdam2026/talk/UPGM73/ - [Lin Jia](https://speakerstrail.com/speakers/lin-jia) — "The A/B Testing Blind Spot: Solving the Opt-In Paradox with Randomized Encouragement and DoubleML" Source: https://pretalx.com/pydata-amsterdam2026/talk/Q7CB9J/ - [Kexin Fei](https://speakerstrail.com/speakers/kexin-fei) — "The A/B Testing Blind Spot: Solving the Opt-In Paradox with Randomized Encouragement and DoubleML" Source: https://pretalx.com/pydata-amsterdam2026/talk/Q7CB9J/ - [Martin Iglesias Goyanes](https://speakerstrail.com/speakers/martin-iglesias-goyanes) — "Trillion-Token Pretraining: Building a Foundational Model for payment data" Source: https://pretalx.com/pydata-amsterdam2026/talk/EUY789/ - [Raúl Soutelo Quintela](https://speakerstrail.com/speakers/raul-soutelo-quintela) — "Trillion-Token Pretraining: Building a Foundational Model for payment data" Source: https://pretalx.com/pydata-amsterdam2026/talk/EUY789/ - [Azamat Omuraliev](https://speakerstrail.com/speakers/azamat-omuraliev) — "When RAG is not enough: Architecting for 10M+ context windows" Source: https://pretalx.com/pydata-amsterdam2026/talk/DQXPVN/ - [Thijs Sluijter](https://speakerstrail.com/speakers/thijs-sluijter) — "Rebuilding Picnic’s Recipe Recommender" Source: https://pretalx.com/pydata-amsterdam2026/talk/VUJB7A/ - [Majid Hajiheidari](https://speakerstrail.com/speakers/majid-hajiheidari) — "Rebuilding Picnic’s Recipe Recommender" Source: https://pretalx.com/pydata-amsterdam2026/talk/VUJB7A/ - [Alex Litvinov](https://speakerstrail.com/speakers/alex-litvinov) — "Answers you can question: building a verifiable AI analytics agent" Source: https://pretalx.com/pydata-amsterdam2026/talk/BANDQK/ - [Rayan Daod](https://speakerstrail.com/speakers/rayan-daod) — "Serving Personalized ML at Scale with Evolving Runtimes" Source: https://pretalx.com/pydata-amsterdam2026/talk/DAUQVR/ - [Shehab Amin](https://speakerstrail.com/speakers/shehab-amin) — "Modernizing Spark: Performance Boost without Rewrite" Source: https://pretalx.com/pydata-amsterdam2026/talk/YMKPBU/ - [Santosh Pingale](https://speakerstrail.com/speakers/santosh-pingale) — "Modernizing Spark: Performance Boost without Rewrite" Source: https://pretalx.com/pydata-amsterdam2026/talk/YMKPBU/ - [Sako Arts](https://speakerstrail.com/speakers/sako-arts) — "Computer Use Beyond the Demo: Bringing Legacy Systems into the Agentic Era" Source: https://pretalx.com/pydata-amsterdam2026/talk/EANR9W/ - [Nicolai van der Smagt](https://speakerstrail.com/speakers/nicolai-van-der-smagt) — "Open Weights, Cloud Scale: Architecture Patterns for Faster and Cheaper Production Agents" Source: https://pretalx.com/pydata-amsterdam2026/talk/V8XH8S/ - [Bauke Brenninkmeijer](https://speakerstrail.com/speakers/bauke-brenninkmeijer) — "Evaluating Agents at Scale: From 50 Examples to a Production Flywheel" Source: https://pretalx.com/pydata-amsterdam2026/talk/XUC7LQ/ - [Tara Farzami](https://speakerstrail.com/speakers/tara-farzami) — "When should an AI Agent say "I Don't Know"? Confidence, routing, and multi-turn evaluation in a LLM system" Source: https://pretalx.com/pydata-amsterdam2026/talk/ZXZCFJ/ - [Borja Enrique Vilar Martos](https://speakerstrail.com/speakers/borja-enrique-vilar-martos) — "Agent-Friendly Data Platforms: Semantic Layers, Tool APIs, and Guardrails for Agentic" Source: https://pretalx.com/pydata-amsterdam2026/talk/ZASNRB/ - [Mohit Kumar](https://speakerstrail.com/speakers/mohit-kumar) — "Systems for Scale: Architecting a Nationwide Energy Forecasting Platform" Source: https://pretalx.com/pydata-amsterdam2026/talk/CBE9UC/ - [Daria Mustafina](https://speakerstrail.com/speakers/daria-mustafina) — "Systems for Scale: Architecting a Nationwide Energy Forecasting Platform" Source: https://pretalx.com/pydata-amsterdam2026/talk/CBE9UC/ - [Corné Vriends](https://speakerstrail.com/speakers/corne-vriends) — "Systems for Scale: Architecting a Nationwide Energy Forecasting Platform" Source: https://pretalx.com/pydata-amsterdam2026/talk/CBE9UC/ - [Willem Feijen](https://speakerstrail.com/speakers/willem-feijen) — "Scheduling at Scale: Building a Railway Timetable Optimizer in Python" Source: https://pretalx.com/pydata-amsterdam2026/talk/XJJUQH/ - [Merel Groen](https://speakerstrail.com/speakers/merel-groen) — "Scheduling at Scale: Building a Railway Timetable Optimizer in Python" Source: https://pretalx.com/pydata-amsterdam2026/talk/XJJUQH/ - [Matt Topol](https://speakerstrail.com/speakers/matt-topol) — "DuckDB + ADBC: Faster, Easier Data Analytics" Source: https://pretalx.com/pydata-amsterdam2026/talk/TRBXRH/ - [Emir Can](https://speakerstrail.com/speakers/emir-can) — "When Should AI Speak? Letting Agents Decide When It's Their Turn" Source: https://pretalx.com/pydata-amsterdam2026/talk/KHXZLR/ - [Anna Pillar](https://speakerstrail.com/speakers/anna-pillar) — "When Should AI Speak? Letting Agents Decide When It's Their Turn" Source: https://pretalx.com/pydata-amsterdam2026/talk/KHXZLR/ - [Luisa Orozco](https://speakerstrail.com/speakers/luisa-orozco) — "When one score is not enough: matching real-world groundwater time series at scale" Source: https://pretalx.com/pydata-amsterdam2026/talk/YVEPAV/ - [Patrick van Balkom](https://speakerstrail.com/speakers/patrick-van-balkom) — "AI You Can Bet Your Business On: How Mars' Context-Lake Builds the Trust Bridge Between People and AI" Source: https://pretalx.com/pydata-amsterdam2026/talk/CFNEQT/ - [Grégoire Martinon](https://speakerstrail.com/speakers/gregoire-martinon) — "Beyond LLM-as-Judge: Using GLIDE for Reliable, Scalable Evaluation of GenAI Systems" Source: https://pretalx.com/pydata-amsterdam2026/talk/ZSYGEC/ - [Ryan Marinelli](https://speakerstrail.com/speakers/ryan-marinelli) — "Stop Early, Decide Smarter: Bayesian Sequential Testing for LLM Benchmarking" Source: https://pretalx.com/pydata-amsterdam2026/talk/BBXLSD/ - [Sadeeq Akintola](https://speakerstrail.com/speakers/sadeeq-akintola) — "Reuniting the two distant cousins: Orchestrating your end-to-end Data Engineering Workflow Leveraging Python in Apache Beam and Apache Airflow" Source: https://pretalx.com/pydata-amsterdam2026/talk/ASSD9U/ JSON: https://speakerstrail.com/api/v1/events/pydata-amsterdam-2026 --- Machine-readable index: [/llms.txt](https://speakerstrail.com/llms.txt) · API spec: [/openapi.json](https://speakerstrail.com/openapi.json) · API docs: [/docs/api](https://speakerstrail.com/docs/api) · Sitemap: [/sitemap-index.xml](https://speakerstrail.com/sitemap-index.xml)