Download The Agenda
Companies Presenting
Keynote Speakers
4th September
Andy Field
Statistician, Professor, & Author
University of Sussex
Andy Field, author of many popular statistics textbooks is known for his engaging and unconventional teaching style. Dubbed ‘the Harry Potter of the Social Sciences,’ Field’s books stand out for their approachable nature.
Honoured with awards for teaching and contributions to psychology, Field’s innovative book ‘An Adventure in Statistics: The Reality Enigma‘ received critical acclaim for its unique blend of textbook and novel elements.
Christel Swift
Senior Principal Data Scientist
BBC
Christel Swift has spent her career in music and media measurement, with her current role as Senior Principal Data Scientist at the BBC helping stakeholders utilise data to inform decisions.
A seasoned speaker at EARL, Swift has previously presented on Market Basket analysis and Network Graphs, and Causal Inference. She is currently working on synthesizing datasets to understand the BBC’s audience reach across TV, Radio, and Online.
5th September
Steph Locke
Technology leader with an AI & Entrepreneur background
Microsoft
Steph Locke heads up a team of digital and app innovation architects in Microsoft, helping some of the UK’s biggest organisations use the cloud to deliver more value faster. She has a broad technology background in data, AI, and software and has experience running consultancies and startups.
Steph loves open source, and the impact accessible tech can have on empowering people, so she dedicates her spare time to helping others improve their use of tech and AI. She was a Microsoft Most Valued Professional for five years in a row and she sits on the board of the SQL Saturday Foundation.
Hadley Wickham
Chief Scientist
Posit
Hadley Wickham probably needs no introduction, but is renowned for his ground breaking work in R programming. He is the chief scientist at Posit, PBC and creator of the tidyverse!
His influential packages, such as ggplot2 and dplyr, have earned him prestigious honors, including the COPSS Presidents’ Award and recognition as a Fellow by the American Statistical Association, underscoring his pivotal role in advancing statistical computing accessibility.
Morning Workshops
An Introduction to Shiny for Python
Andrie de Vries, Director of Product Strategy, Posit
Andrie will provide an introduction to coding a web application using Shiny for Python, with the new Shiny Express framework.
This session will appeal to both Python users new to Shiny, and R users who are familiar with Shiny but want to apply their knowledge using Python.
Building Data Pipelines in Python
Jaymin Mistry, Senior Data Scientist, Faculty.ai
Jaymin will provide a brief history of open-source data pipelining tools and common pitfalls, before before helping you build a data pipeline with validation that will last.
This session will appeal to anyone who handles data and has either been burnt (80% of people) or wishes to avoid being burnt (you in the future!) with ETL and data quality issues in a data science workflow.
Afternoon Workshops
Azure for the R person: So you found yourself accidentally managing Azure environments!
Steph Locke, Technology Leader, Microsoft
Steph will be running an immersive, hands-on workshop designed specifically for R enthusiasts looking to leverage the power of Microsoft Azure.
This workshop will guide you through the essential tools and services Azure offers to enhance your R-based projects, whether you’re developing machine learning APIs, leveraging models as a service, or hosting apps.
An Introduction to RAG in Python
Dan Gibson, Founder, Personify AI
Dan will introduce you to Retrieval Augmented Generation (RAG) and take you through a guided exercise to build a simple RAG-powered chatbot.
This session is designed to be suitable for participants with basic Python skills, but also be a good overview for those who consider themselves capable Python developers, but haven’t tried out RAG.
Meet Our Speakers
4th September
Gala Camacho
Data Scientist and Co-Founder
Diagonal Works
Finding My Favourite Bench – Urban Analysis with b6
Zac Nash
Senior Data Engineer
Fresh Egg
Unlocking the Secrets of Fish Behaviour with Python
Sean Burton
Founder
Azura Earth
Using R with Geospatial Data
Charlotte Osborne
Director
Prolific10
How R Can Work to Support PPC Efforts
Adam Gajtkowski
Data Scientist
Booking.com
Improving Insights by Utilizing Causal Inference Methods
Romain Francios
Data Scientist
Tada Data Company
From Tidy to Tada
Adriana de Palma
Principal Researcher
Natural History Museum
Matt Thomas
Head of Strategic Insight & Foresight
British Red Cross
Kirsten McMillan and Chris Newton
Data Manager and Data Officer
Dogs Trust
Nick Howlett
Senior Data Scientist
NHS
Improving Acute Hospital Flow Through Real-Time Stochastic Modelling of Daily Discharge Requirements for Onward Care
Sarah McDonald and Mel Weedon
Data Officer and Research Officer
Dogs Trust
Analysis of Dog Demographics: Insights into Patterns of Licensed Dog Breeding and ‘Return to Kennel’ Probabilities in the UK
Deepansh Khurana
R/Shiny Developer
Appsilon
Chris Holmes
Head of Data and Analytics
FullFibre
Anastasiia Kostiv
Data Scientist
Barefootocean
Andrie De Vries
Director of Product Strategy
Posit
Andrew Collier
Lead Data Scientist
FullFibre
Xinye Li
Head of Data Science
Ascent
5th September
Elizabeth Brown
Data Scientist
Branding Science
Shiny for Python: A Call to the Community
Timothy Wong
Senior Data Scientist
Vodafone
Dayo Oguntoyinbo
Senior Data Scientist
Amazon AWS
Leveraging Amazon Bedrock for your Enterprise Generative AI Solutions
Stephen Wilkins
Professor
University of Sussex
Solving the Mysteries of the Universe with the Help of Python
YiWen Hon and Tom Jemmett
Data Scientists
NHS
Neide Simões-Capela
Clinical Data Scientist
HCA
Amit Kohli
Head of Data Insights
Access Social Care
Data is STILL useless
Tom Wagstaff
Principal Data Scientist
Oxford Policy Management
Whisper It! Taking Advantage of OpenAI’s Open Source Transcription Model
Alex Glaser
Data Science Contractor
UK Health Security Agency
Data Science During COVID Times
Hansel Palencia
Data Scientist
DaVita International
Implementing Machine Learning Models in Clinical Practice: A Practical Example
Hannah Frick
Software Engineer
Posit
Abbie Brookes
Data Science Consultant
Datacove
Quazi Nafiul Islam
Developer Advocate
Sonar
Ellis Hughes
Data Science Leader
GSK
Megan Bourne
Data Scientist
Levy
Ella Thompson and Stefania Deligia
Analyst and Lead Data Engineer
Edge Health
R for Strategic Forecasting in Healthcare
Amieroh Abrahams
Data Scientist
Jumping Rivers
Revolutionising Water Management: Exploring Advanced Sensor Analyses for Enhanced Precision and Efficiency
David Lucy
Managing Director
December19