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Events and Talks

 

In AI, Machine Learning and Data Science across the University and beyond.

Events

Cambridge Big Data Research Symposium
Cybersecurity for Smart Infrastructure: Challenges and Opportunities
Ensembl browser workshop
Data Challenges in Cardiovascular Research
Personal Data Stores: A new approach to control of online privacy
'Scores of Scores': Possibilities and Pitfalls with Musical Corpora
Hands-off my health records: why sharing your health data matters
Cryptocurrencies and ICO : Trends and Opportunities
Big Data and personalised medicine
Manufacturing Analytics: Preliminary lessons and the way forward
Inaugural meeting for a Consortium for AI in Medicine at Cambridge
High Dimensional Big Data Engineering
Sensors and Data in Robotics
Environmental Science in the Big Data Era
An introduction to the Turing-HSBC partnership in Economic Data Science
Dodgy Data in the news: How to spot it and how to stop it
Big Data Analytics Service Forum
Big Data in Medicine: Tools, Transformation and Translation
Cambridge Networks Day 2017
The Future of Big Data Patent Analytics
National Physical Laboratory UK Workshop on Data Metrology & Standards
Digital Echoes: Understanding Patterns of Mass Violence with Data and Statistics
Scalable Data Processing for Big Data from Laptop, Multi-core, to Cluster Computing
Ethics of Big Data Workshop
Cantab Capital Institute for the Mathematics of Information - Launch Event
University of Cambridge Mathematics and Big Data Showcase
The Alan Turing Institute – Energy Summit
Our Digital Future - Multidisciplinary Perspectives on Long Term…
Big Data, Multimodality & Dynamic Models in Biomedical Imaging
EPSRC Centre for Mathematical and Statistical Analysis of…
Ethics of Big Data in practice: Social media research
Ethics of Big Data in practice: Administrative data
Ethics of Big Data in practice: Patient record linkage in hospitals
Ethics of Big Data in practice: Health and Policy research in Africa
Workshop on Urban Data Science #wuds15
Neurocomputation: from brains to machines
Big Data for Small and Medium Enterprises - an Alan Turing Institute Summit
Inside Snowden’s suitcase
Regulation of medical research under European Data Protection: in theory and…
What is Big Data? Discovery through a Data Walkshop
Green Computing - Materials, Architectures and Applications
Big Data Methods for Social Science and Policy - Interdisciplinary Workshop…
Data In Drug Discovery - Time To Get Honest!
Data and Sensing in Extreme Environments
Big Data in Medicine: Exemplars and Opportunities in Data Science
Policy-Making in the Big Data Era: Opportunities & Challenges
Economic and Econometric Applications of Big Data
Selling Science? News, public relations and communicating scientific research
Social Media and Qualitative Health Research: Big Data Seminar and Masterclass…
Tenth Annual Symposium of the Cambridge Computational Biology Institute

Talks

Upcoming related talks from talks@cam

Date Title Speaker Abstract
BSU Seminar: "Estimating conditional means under missingness-not-at-random with incomplete auxiliary variables" Maya Mathur, Associate Professor, Stanford Medicine

Estimators assuming missingness at random (MAR) can fail under missingness not at random (MNAR). Introducing complete auxiliary variables sometimes restores MAR by breaking dependence between analysis variables and missingness. However, if the auxiliaries are themselves incomplete, MAR typically remains violated.

Cambridge AI in Medicine Seminar - July 2026 Mengling Feng and Kai He

Sign up on Eventbrite: https://medai-july2026.eventbrite.co.uk
BSU Seminar: "Personalized Federated Training of Diffusion Models with Local Differential Privacy" Kumar Kshitij Patel, Yale Institute for Foundations of Data Science (FDS)

Diffusion models are now the dominant approach for high-fidelity image generation, yet they remain highly vulnerable to privacy attacks, including reconstruction and membership inference attacks (e.g.,