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Events and Talks

 

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

Events

Turing-Roche knowledge share: AI to Clinical Practice External
Harnessing Machine Intelligence for Planetary-level Climate Action… Uni of Cambridge
Machine Learning Clinic Session – Accelerate Programme and Cambridge… Uni of Cambridge
C2D3 Computational Biology Annual Symposium 2023 C2D3 event
AI4ER (AI for Environmental Risk) Showcase Uni of Cambridge
Social Media and AI in Suicide Prevention - CHIA Spring Seminar series: AI… Uni of Cambridge
Turing-Roche knowledge share: Explainable AI in Health External
Cambridge oneAPI Workshop: SYCL Programming for Accelerated Computing Uni of Cambridge
Building Bridges in Medical Sciences (BBMS) 15th Annual Conference Uni of Cambridge
AIMday (Academic Industry Meeting Day) Gene & Cell Therapy Uni of Cambridge
Machine Learning Engineering Clinic Session Uni of Cambridge
Turing-Roche knowledge share: Digital Health External
The Turing Lectures: How to speak whale External
Cambridge AI Club for Biomedicine Uni of Cambridge
Physics-enhanced velocimetry (PEV) for joint reconstruction and… Uni of Cambridge
Collaboration Day for Interdisciplinary Data Science and AI Research C2D3 event
QMUL - 2022 Intelligent Sensing Winter School External
Turing-Roche knowledge share: Data and Software Engineering External
Causal Methods in Environmental Science (CMES) Uni of Cambridge
Trustworthy AI for Medical and Health Research Workshop Uni of Cambridge
The Turing Lectures: How much can we limit the rising of the seas? External
Turing-Roche knowledge share: AI in Clinical Trials External
Turing-Roche knowledge share: AI in precision medicine External
Seminar: The environmental impact of computational science: how bad is it… C2D3 event
The Turing Lectures: Where next for self-driving vehicles? External
High Performance Computing Autumn Academy 2022 Uni of Cambridge
CCAIM AI and Machine Learning in Healthcare Summer School Uni of Cambridge
Aviva-Cambridge Annual Partnership Event 2022 Uni of Cambridge
Medical Image Understanding and Analysis Uni of Cambridge
Cambridge Mathematics of Information in Healthcare Hub (CMIH) - Academic Engagement… Uni of Cambridge
Open Science and Sustainable Software for Data-driven Discovery C2D3 event
Applied Process Mining for Management C2D3 event
Blending artificial intelligence with heterogeneous data sources to… External
An Introduction to Data and Commercialisation C2D3 event
Cambridge Imaging Festival 2022 Uni of Cambridge
CCBI/C2D3 Annual Computational Biology Symposium 2022 C2D3 event
Data science and AI for sustainability conference 2022 C2D3 event
AI UK: The UK’s national showcase of artificial intelligence and data science External
Cambridge Conference: AI in Drug Discovery Uni of Cambridge
Education Research Showcase - Department of Computer Science and Technology Uni of Cambridge
UTokyo-Cambridge Voices 2021: Engineering the future by leveraging digital… Uni of Cambridge
Interpretability, safety, and security in AI External
Software and Data Commercialisation for University Researchers C2D3 event
Networks to Collaborate in Cambridge Event Uni of Cambridge
The Turing Lectures: AI for drug discovery External
Cantab Capital Institute for the Mathematics of Information – Industry Engagement Uni of Cambridge
Statistics and modelling for policy in a COVID-zero setting External
Cambridge Public Health & Department of Engineering Workshop Uni of Cambridge
Accelerate Science's 2021 Annual Symposium External
Cambridge Zero Research Symposium: AI & Sustainability Uni of Cambridge

Talks

Upcoming related talks from talks@cam

Date Title Speaker Abstract
Computational Biology Seminar Series - Professor Yinqing Li Professor Yinqing Li, The IDG/McGovern Institute for Brain Research, Tsinghua University & Gurdon Institute, University of Cambridge (Sabbatical Visitor)

https://www.c2d3.cam.ac.uk/events/computational-biology-seminar-series-professor-yinqing-li


Talk title: Control of Gene Expression in Time and Degree
Enabling Traffic Scheduling for RDMA Jichun Wu, University of Cambridge

Abstract:
Talk by Prof. Nicholas Tomlin (NYU & Toyota Technological Institute at Chicago) Prof. Nicholas Tomlin (NYU & Toyota Technological Institute at Chicago)

Abstract not available
Token Distillation and the Future of Token Embeddings Konstantin Dobler (Hasso Plattner Institute and ELLIS Unit Potsdam)

Abstract:
Careers Beyond Academia - Financial Times, Chief Data Officer Kate Sargent, Chief Data Officer, Financial Times

The Careers Beyond Academia Seminar Series provides PhD students and Early Career Researchers with realistic, experience-based insights into career pathways outside academia. Through invited talks from professionals working across industry and organisations, the series helps researchers understand how to successfully transition their skills and expertise into impactful roles beyond the university environment.
Statistics Clinic Easter 2026 IV

This free event is open only to members of the University of Cambridge (and affiliated institutes). Please be aware that we are unable to offer consultations outside clinic hours.


If you would like to participate, please sign up as we will not be able to offer a consultation otherwise. Please sign up through the following link: https://forms.gle/HdHM5kKYuxcdRPzr6. Sign-up is possible from June 18 midday (12pm) until June 22 midday or until we reach full capacity, whichever is earlier. If you successfully signed up, we will confirm your appointment by June 24 midday.
Talk by Prof. Robert West (EPFL) Prof. Robert West (EPFL)

Abstract not available
Can an IP-based protocol stack be used for end-to-end communication in deep space? Prof. Carles Gomez, Universitat Politècnica de Catalunya

Abstract:
Title to be confirmed Donya Rooein (Bocconi University)


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