Speakers

Weipeng XU

Senior Research Scientist Valka.AI, ex Meta

Ariane Mora

Principal investigator AITHYRA, ex Caltech

Yauhen Babakhin

Senior Applied Research Scientist NVIDIA

Oleksandr Pyvovar

Machine Learning Engineer Meta

Shani Alisar

Senior Software Engineer Red Hat

Tomas Pluskal

Research Group Leader Institute of Organic Chemistry and Biochemistry of the CAS

Aleksandra Kowalczuk

Cybersecurity Analyst Accenture

Shaul Cohen

VP R&D Similarweb

Ethan Tu

Founder and Chairman Taiwan AI Labs

Yi-Ting Chen

Associate Professor National Yang Ming Chiao Tung University

Albert Liu

Founder & CEO Kneron Inc.

Jérémy Cochoy

CEO Redstone Solutions

Manikanth Reddy Gonchi

Senior Machine Learning Engineer Bloomreach

Alexandr Vendl

Team Lead and AI Architect Dataclair

Jan Čurn

Founder & CEO Apify

Tomas Dulka

Member of Technical Staff Aisle

Tomáš Rokos

GenAI Tech Lead BigHub

Radek Svoboda

Lead ML Engineer Rankacy AI

Rudolf Jakša

Head of AI Matsuko

Jan Stratil

Machine Learning Engineer Innovatrics

Peter Krejzl

VP AI and Data Emplifi

Martin Hajný

AI CoE Leader Raiffeisenbank

Richard Jefferies

Director QA Market Risk Barclays

Mayank Gupta

Senior AI/ML Specialist Amazon

Roy Allela

Senior AI/ML Specialist Amazon

Elad Ben-Zaken

NLP Researcher Dream

Oded Ovadia

NLP Researcher Dream

Ludek Matyska

AI Evangelist Rouvy

Vojtech Kadlec

AI Engineer STRV

Michal Šustr

ML engineer minfx.ai / FEE CTU

Martin Dvorak

Co-founder Minfx.ai

Karolina Cynk

Software Development Team Lead CERN

Adam Karasek

Software Developer CERN

Jan Kislinger

Data Scientist Sky Czech Republic

Filip Kojan

Mobility AI Lead O2/Dataclair

Ondřej Karlíček

AI Engineer O2/Dataclair

Nadzeya Laurentsyeva

People Analytics Data Science Leader Sanofi

Ludek Stehlik

People Analytics Data Science Expert Sanofi

Ivan Ushakov

People Analytics Data Science Intern Sanofi

Adam Jurčík

Senior data scientist Seznam.cz

Jakub Chynoradský

Data scientist Seznam.cz

Roman Dušek

Bloomreach

Marek Šrank

Data scientist Seznam.cz

Program

Stages

Room D2

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

From Maps to Models: Hands-On Geospatial Data Processing for Data Scientists

09:00 - 12:30

LUNCH

12:30 - 14:00

Beyond Single Decision: A Practical Tutorial on Slate Bandits

14:00 - 17:30

Room D3

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

Train a Small Language Model with SageMaker HyperPod

09:00 - 12:30

LUNCH

12:30 - 14:00

From Zero to Task-Master: Hands-On Fine-Tuning of Large Language Models for Specialized Applications

14:00 - 17:30

Room D4

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

Probabilities Over Prompts: How to Stop Begging and Start Modeling

09:00 - 12:30

LUNCH

12:30 - 14:00

Building and Backtesting ML Investment Strategies

14:00 - 17:30

Room D6

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

From Prediction to Impact: Machine Learning Meets Econometrics for Causal Inference in Organizations

09:00 - 12:30

LUNCH

12:30 - 14:00

Find the Bottleneck: Speed Up ML Pipelines by 10%–500%

14:00 - 17:30

Michal Šustr

Room D7

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

Graph-Based Anomaly Detection: Methods and Hands-On Implementation

09:00 - 12:30

LUNCH

12:30 - 14:00

Recommender Systems in the Age of Generative AI

14:00 - 17:30

Jan Kislinger

Machine Learning Prague 2026

Weipeng XU

Ariane Mora

Yauhen Babakhin

Oleksandr Pyvovar

Shani Alisar

Tomas Pluskal

Aleksandra Kowalczuk

Shaul Cohen

Ethan Tu

Yi-Ting Chen

Albert Liu

Jérémy Cochoy

Manikanth Reddy Gonchi

Alexandr Vendl

Jan Čurn

Tomas Dulka

Tomáš Rokos

Radek Svoboda

Rudolf Jakša

Jan Stratil

Peter Krejzl

Martin Hajný

Richard Jefferies

Mayank Gupta

Roy Allela

Elad Ben-Zaken

Oded Ovadia

Ludek Matyska

Vojtech Kadlec

Michal Šustr

Martin Dvorak

Karolina Cynk

Adam Karasek

Jan Kislinger

Filip Kojan

Ondřej Karlíček

Nadzeya Laurentsyeva

Ludek Stehlik

Ivan Ushakov

Adam Jurčík

Jakub Chynoradský

Roman Dušek

Marek Šrank

Program

Choose date

Room D2

From Maps to Models: Hands-On Geospatial Data Processing for Data Scientists

LUNCH

Beyond Single Decision: A Practical Tutorial on Slate Bandits

Room D3

Train a Small Language Model with SageMaker HyperPod

LUNCH

From Zero to Task-Master: Hands-On Fine-Tuning of Large Language Models for Specialized Applications

Room D4

Probabilities Over Prompts: How to Stop Begging and Start Modeling

LUNCH

Building and Backtesting ML Investment Strategies

Room D6

From Prediction to Impact: Machine Learning Meets Econometrics for Causal Inference in Organizations

LUNCH

Find the Bottleneck: Speed Up ML Pipelines by 10%–500%

Room D7

Graph-Based Anomaly Detection: Methods and Hands-On Implementation

LUNCH

Recommender Systems in the Age of Generative AI

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