C2D3 Early Career Researcher and Student conference 2025

C2D3 event

Wed, 10 Dec 2025 9:20 AM - 5:00 PM

Organiser

Cambridge Centre for Data-Driven Discovery

Location

Department of Computer Science and Technology, University of Cambridge, William Gates Building, 15 JJ Thomson Avenue, Cambridge, CB3 0FD

We warmly invite all Early Career Researchers and Students from the University of Cambridge to this interdisciplinary data science and AI conference. This is more than just a conference - it's a relaxed, informal and supportive environment, with opportunities to interact and connect with like-minded peers from across the University.

Get involved

Hear directly from successful seed funding awardees, and get involved with two interactive lightning talk mini-sessions. Do you have a problem to solve or a solution to share? We invite you to submit a lightning talk title during registration (expression of interest closes 9th November):

Theme: Exciting ideas, problems and solutions

Conference partners

This year we are excited to partner with two great teams:

Accelerate Programme for Scientific Discovery - AI Summit. The AI Summit will be held on Tuesday 9th December.

Cambridge NeurIPS - machine learning conference. The C2D3 conference and NeurIPS conference will host a joint morning session followed by parallel afternoon sessions on Wednesday 10th December.

Programme

Tuesday 9th December (day)

AI Summit, check out Accelerate Programme for Scientific Discovery for details: https://science.ai.cam.ac.uk/events/ai-for-science-summit-2025

Tuesday 9th December (dinner) Ray Dolby Centre

All attendees across the two conference days are invited to the conference dinner. Please join us for dinner, free for conference attendees!

Wednesday 10th December (day)

9.20	Registration, tea and coffee
9.40	Session 1 - Joint C2D3-NeurIPS
	Opening - Ellen Ashmore Marsh, Programme Manager C2D3
	Chairperson - Pritthijit Nath, AI4ER CDT
	New ways of approaching AI problems Tom Cowperthwaite, DAMPT - GPGreen: Learning Linear Operators using Gaussian Processes Yihang She, Department of Computer Science - PILA: Physics-Informed Low Rank Adaptation for Interpretable Earth Observation Anna Pazola, Brunel Unversity, Department of Computer Science - Predicting and Interpolating Spatiotemporal Environmental Data: A Case Study of Groundwater Storage in Bangladesh Xiangjian Jiang, Department of Computer Science - TabStruct: Measuring Structural Fidelity of Tabular Data
10:45	Break
11:30	Keynote: Dr Ramit Debnath, University of Cambridge Unveiling social tipping mechanisms in climate discourse using computational social sciences
	University Assistant Professor and Deputy Director, Centre for Human-Inspired AI (CHIA) ,Teaching lead: Mathematics and Programming (Design Tripos) and AI for Sustainability (CHIA),Co-Director, MPhil in Architecture and Urban Studies, Director, Cambridge Collective Intelligence and Design Group, Director, University of Cambridge climaTRACES Lab
12.30	Lunch
13.30	Session 2 - C2D3 Early Career Researcher and Student Conference*
	Opening - Professor Matt Castle, C2D3 and Department of Genetics
	Dr Edward Harding, Clare College A journey from Seed Funding to Large Grants
	C2D3 Seed Fund Awardees from 2024 and 2025 Luning Sun, Judge Business School - Creativity of LLM-based multi-agent systems Szilvia Vas, Department of Physiology, Development and Neuroscience - Development of an AI-Based Platform for Quantifying Feeding Behaviour in Mice to Uncover Hypothalamic Crosstalk between Sleep, Fertility, and Energy Balance Katherine Brown, Department of Pathology - Automated detection and annotation of RNA virus subgenomic RNAs through analysis of public RNA-seq data Yuanfei Liu , Department of Psychiatry, Heatwave impacts on population health: an agent-based modelling simulation study
	Early Career Researcher opportunities to get involved with The Alan Turing Institute - Alison Wilson, Turing Liaison
14.55	Break
15.15	Session 3 - C2D3 Early Career Researcher and Student Conference*
	Exciting ideas, problems and solutions Dequn Teng, Department of Engineering, Human–Algorithm Interactions and Analytical Creativity: An Experimental Approach Orlando Timmerman, Department of Earth Sciences, Past, present, and future of reef distributions mapped through machine learning Rui Li, Clinical Neurosciences, LUMEN–A deep learning pipeline for analysis of the 3D morphology of the cerebral lenticulostriate arteries from time-of-flight 7T MRI Kenton Kwok, Department of Chemical Engineering and Biotechnology, Combining learning and physics-based modelling for tissue oximetry via spectral imaging
16.10	Drinks reception
17.00	Close

*C2D3 sessions 2 & 3 are in-person only. See NeurIPS event page for their parallel session details.

Registration now closed.

Organising Committee

Many thanks to:

Matt Castle, Szilvia Vas, Yuanfei Liu, Qiuyu Lian and Ge Zheng.

ECR student conference 2025 event page thumbnai