MLconf London 2016

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Thanks for registering to attend MLconf UK! We're excited for our first UK-based event! Please prepare to bring a laptop, smartphone or tablet, as presentations will offer valuable information that you won't want to miss! Breakfast, coffee breaks, and lunch will be provided. Remember to bring business cards, as this conference encourages networking within the Machine Learning community. Just a reminder- Refunds will be provided up to 72 hours prior to the event, a processing fee of 5% will be incurred.

MLconf London 2016

When and where

Date and time


The British Library 96 Euston Road London NW1 2DB United Kingdom

Map and directions

How to get there

Refund Policy

Contact the organizer to request a refund.


MLconf was created to host the thought leaders in Machine Learning and Data Science to discuss their most recent experience with applying techniques, tools, algorithms and methodologies to the seemingly impossible problems that occur when dealing with massive and noisy data. MLconf is independent of any outside company or university – it’s simply a conference organized to gather the Machine Learning communities in various cities to share knowledge and create an environment for the community to coalesce.

Event Speakers:

Ted Willke, Sr Principal Engineer, Intel

Florian Douetteau, Chief Executive Officer, Dataiku

Abstract: Software Patterns to Scale (Human) Data Science

Flavian Vasile, Senior Data Scientist, Criteo

Sebastian Blohm, Senior Applied Researcher, Microsoft

Abstract: De-Cluttering your Mailbox with Bayesian Inference

Dr. Danny Bickson, Co-Founder, Dato & VP, EMEA

Sunila Gollapudi, Vice President of Technology, Broadridge Financial Solutions

Abstract: Ontology Driven Data Integration Using Machine Learning Techniques

Eyal Kazin, Ph.D, Senior Data Scientist, Cambridge Analytica

Abstract: Modelling Personality Traits on Nationwide Scales

Samantha Kleinberg, Assistant Professor of Computer Science, Stevens Institute of Technology

Abstract: Casual Inference and Explanation to Improve Human Health

We're calling for speakers here! Check out the topics we're interested in. We're particuarly interested in including talks that explain the recent application of Machine Learning models, tools and techniques and their effects of the fintech industry and financial markets. See to see past event speakers and abstracts!


Gold: Winton Capital, Criteo, MapR

Silver: HiringSolved, Dato

Media: O'Reilly, Galvanize