OxfordXML
Promoting a cross-disciplinary machine learning community to share, learn and connect
OxfordXML brings together researchers across different disciplines to share and learn about the impact of machine learning in their respective fields, such as physics, finance, social sciences, engineering, healthcare, and psychology.
“What we want is a machine that can learn from experience”
Alan Turing
Alan Turing
our mission
To provide a cross-disciplinary platform for Machine Learning researchers to share, learn and connect with other researchers across different disciplines
our community
We bring together researchers from various disciplines to build a community that promotes knowledge transfer, networking and interdisciplinary collaboration.
our activities
Termtime hybrid talks, held at Wolfson College and online, discussing different applications of Machine Learning in an informal and supportive setting.
our audience
We welcome anyone interested in learning more about Machine Learning applications across different fields. Past attendees of our events include postgraduate students, early career researchers and professors.

upcoming events

what's coming up

Please fill in this form if you're interested in joining as a student affiliate.

Stay updated on our latest events and news by joining our mailing list.

Interested in sharing your expertise? Apply to give a talk at our next seminar.

Wolfson college

25

Jun

2026
Memory Learning under Partial Observability

Speaker: Dr Peter Koepernik
Calendar Icon Time: 17:00-18:00
Location Icon Seminar Room 2, Wolfson College & Online (Teams link).

Biography:

Peter is a Research Scientist at OpenAI working on sub-quadratic attention mechanisms to improve long-context performance of large language models. He recently completed a DPhil in Statistics at Oxford, with research in probability theory, stochastic analysis, numerical SDE methods, and reinforcement learning under partial observability. More broadly, he is interested in how mathematical approaches can help make machine learning algorithms more scalable, robust, and useful.

Abstract:

When a reinforcement learning agent has access only to partial observations of its environment, optimal decision-making generally requires retaining and using information from the past. This work characterizes the properties a learned memory representation must satisfy for an optimal policy to be expressible as a function of that representation. Building on this, we introduce an auxiliary training objective that encourages deep reinforcement learning agents to learn such memory functions. Empirical results across a diverse set of environments demonstrate that this approach can substantially improve performance under partial observability.

Human Language Meets AI event poster Click image to enlarge

TBA

The Birth of the Digital Universe Streamed via PixselChat

Speaker: Dr Sepi Chakaveh

Date Date: TBA | Time: TBA
Location TBA

Biography:

Dr Sepideh (Sepi) Chakaveh has a degree in Electronics Engineering & a PhD in Experimental Astrophysics & Space Sciences. She has worked both in the UK & Germany as senior scientist/academic including, Imperial College, Max Planck Institute in Heidelberg, Fraunhofer Society & Southampton University where she was the co-founder and the former Director of Southampton Data Science Academy, the first UK on-line Data Science academy. Sepi is Research Common Room Member of Wolfson College Oxford, member of the advisory board of the Royal Holloway College Cyber Security Doctoral Training Centre, the winner of Everywoman Innovator Award 2020, and Technology Gamechanger 2021, Winner of The Innovation Excellence Streaming Platform of the Year 2022 and the Winner of Video AI Technology Specialists of the Year 2022, 5V DeepTech Ambassodor 2023 and OLLIE Researcher of 2025 Award Winner. Sepi is the inventor of PixselChat (flagship product of Pixsellar) a multiple award bearing next generation of data communication platforms with embedded real-time translation capabilities. PixselChat is a real-time multilingual communication platform developed by Pixelar Ltd that seamlessly integrates text, voice, and video with live translation, enabling natural, free-flowing conversations across languages and locations. Designed as a full-fledged telecommunications solution, it removes linguistic and geographic barriers for teams, organisations, and communities operating in complex, high-stakes environments. Notably, PixselChat literally saved lives during a multinational/multilingual rowing charity mission, where its offline real-time translation enabled multilingual crew members to communicate during a life-threatening emergency at sea—demonstrating its reliability, resilience, and real-world impact beyond conventional communication tools.

Abstract:

This online talk explores the remarkable evolution of humanity’s digital journey — from the earliest foundations of computation and the emergence of the internet to today’s interconnected, AI-governed digital ecosystem that is reshaping communication, knowledge, business, and society itself. The lecture examines the current state of the Digital Universe, where artificial intelligence acts not only as a tool but as a governing intelligence that amplifies human capability to create entirely new forms of interaction between people and machines to face some of the current physical challanges. Looking toward the future, the talk reflects on how immersive, multilingual, and intelligent systems will redefine global collaboration, learning, and cultural exchange.

Through PixselChat Live, participants from around the world will be able to experience the lecture simultaneously in 20 languages, listen in real time in their preferred language, and follow live transcripts generated instantly — all delivered in the speaker’s own voice. This groundbreaking experience demonstrates how AI-powered communication can make advanced ideas universally accessible, bringing humanity closer within the expanding Digital Universe.

Past events (2022-2026)

Events held and scheduled by us

Watch recordings of past events on our YouTube channel.

30
Apr 2026
Human Language Meets AI - A Conversation on Language and Large Language Models
Dr Simon Fries and Dominik Lukeš
  • Date
    06:00 PM - 07:00 PM
  • Location
    Levett Room, Wolfson College
1
Jan 2026
Template Event Title
Template Speaker Name
  • Date
    05:30 PM - 06:30 PM
  • Location
    Wolfson College
20
Nov 2025
Learning multi-scale representations of human tissue
Konstantin Hemker
  • Date
    05:30 PM - 06:30 PM
  • Location
    Wolfson College
13
Nov 2025
AI for Atmospheric Systems
Tim Reichelt
  • Date
    05:30 PM - 06:30 PM
  • Location
    Wolfson College
30
Oct 2025
Graph AI generates mechanistic hypotheses validated across neurological systems
Ayush Noori
  • Date
    05:30 PM - 06:30 PM
  • Location
    Wolfson College
14
Oct 2025
Mastery - Why Deeper Learning is Essential in an Age of Distraction
Dr Ulrik Juul Christensen and Jessica White
  • Date
    02:00 PM - 03:00 PM
  • Location
    Wolfson College
19
Jun 2025
Machine Learning at Autotrader and MLOps Practices in Production
Ahmed Osman
  • Date
    06:00 PM - 07:00 PM
  • Location
    Wolfson College
10
Jun 2025
From Thermograms to Concepts: Using Concept Bottleneck Models to Balance Accuracy and Interpretability in Clinical AI Thermography
Mustafa Alghali
  • Date
    01:00 PM - 02:00 PM
  • Location
    Wolfson College
29
May 2025
Engineering the Digital Universe
Dr Sepideh Chakaveh
  • Date
    01:00 PM - 02:00 PM
  • Location
    Wolfson College
6
Mar 2025
Scalable and low-cost federated learning in the NHS using micro-computing
Andrew Soltan
  • Date
    06:00 PM - 07:00 PM
  • Location
    Wolfson College
25
Feb 2025
Beyond the Benchmark: Bridging the Clinical AI Implementation Gap
Dr Brad Segal
  • Date
    06:00 PM - 07:00 PM
  • Location
    Wolfson College
6
Feb 2025
Demystifying AI
Dr Sepideh Chakaveh
  • Date
    06:00 PM - 07:00 PM
  • Location
    Wolfson College
26
Nov 2024
What have Large Language Models actually learned about language(s)? Lessons from linguistics and mechanistic interpretability
Dominik Lukeš
  • Date
    05:30 PM - 06:30 PM
  • Location
    Wolfson College
7
Nov 2024
Active Learning for Billion Scale Data
Dr. Talfan Evans
  • Date
    05:00 PM - 06:00 PM
  • Location
    Wolfson College
23
Oct 2024
Bridging AI-Adaptive and Human Teaching: A Dialogic Approach to Blended, Multimodal Learning
Jessica White
  • Date
    05:00 PM - 06:00 PM
  • Location
    Wolfson College
19
Oct 2024
Linking creative clay models with AI 3D Printing and design
Margaret O'Rorke & Dr. Yi Yin
  • Date
    07:00 PM - 09:00 PM
  • Location
    Wolfson College
16
Oct 2024
Combining AI and imaging to understand cardiovascular diseases
Prof Paul Leeson
  • Date
    05:00 PM - 06:00 PM
  • Location
    Wolfson College
5
Jun 2024
THE EMOTIONAL CONTENT OF CHILDREN'S WRITING: A DATA-DRIVEN APPROACH
Rainy Dong
  • Date
    05:30 PM - 06:30 PM
  • Location
    Wolfson College
30
May 2024
DEMONS: ROBUST SELF SUPERVISED DEPTH AND MOTION NETWORKS FOR ALL-DAY IMAGES
Madhu Vankadari
  • Date
    05:30 PM - 06:30 PM
  • Location
    Wolfson College
23
May 2024
GEOMETRIC MACHINE LEARNING FOR PATIENT-SPECIFIC 3D CARDIAC ANATOMY RECONSTRUCTION
Abhirup Banerjee
  • Date
    05:00 PM - 06:00 PM
  • Location
    Wolfson College
15
May 2024
ADVANCING AI-ECG DIAGNOSIS USING DEEP LEARNING AND NEURAL ARCHITECTURE SEARCH
Lei Lu
  • Date
    05:00 PM - 06:00 PM
  • Location
    Wolfson College
1
May 2024
The Law and Economics of AI
George R Barker
  • Date
    01:00 PM - 02:00 PM
  • Location
    Wolfson College
21
Mar 2024
RESURRECTING RECURRENT NEURAL NETWORKS FOR LANGUAGE MODELLING
Razvan Pascanu
Recording of the seminar can be viewed here.
  • Date
    05:00 PM - 06:00 PM
  • Location
    Wolfson College
13
Mar 2024
Citizen Weather Data and Machine Learning to identify urban climate risk at high spatio-temporal resolution
Prof Jesus Lizana
  • Date
    05:00 PM - 06:00 PM
  • Location
    Wolfson College
7
Mar 2024
MULTI-AGENT REINFORCEMENT LEARNING
Jakob Foerster
Recording of the seminar can be viewed here.
  • Date
    05:00 PM - 06:00 PM
  • Location
    Wolfson College
6
Mar 2024
LINKING DISCIPLINES, OMICS AND AI TO IMPROVE HUMAN HEALTH
Prof James Crabbe
Recording of the seminar can be viewed here.
  • Date
    01:00 PM - 02:00 PM
  • Location
    Wolfson College
27
Feb 2024
ARTIFICIAL INTELLIGENCE FOR MATHEMATICAL DISCOVERY
Daattavya Aggarwal
Recording of the seminar can be viewed here.
  • Date
    05:00 PM - 06:00 PM
  • Location
    Wolfson College
19
Feb 2024
USER PROFILING FOR PERSONALIZATION
Dr Huizhi Liang
  • Date
    01:00 PM - 02:00 PM
  • Location
    Wolfson College
15
Feb 2024
SEEING THE UNSEEN: MACHINE LEARNING IN CARDIAC ELECTROPHYSIOLOGY
Dr Rasheda Chowdhury
  • Date
    01:00 PM - 02:00 PM
  • Location
    Wolfson College
8
Feb 2024
RISKS AND BENEFITS OF OPEN SOURCING LANGUAGE MODELS
Jakob Foerster, Christian Schroeder, Aleksandar Petrov,
Francisco Girbal, Fazl Barez, Joshua Loo
Recording of the seminar can be viewed here.
  • Date
    05:00 PM - 07:00 PM
  • Location
    Engineering Science Department, Thom Building
31
Jan 2024
Multi-Agent Security
Christian Schroeder
Recording of the seminar can be viewed here.
  • Date
    05:00 PM - 06:00 PM
  • Location
    Wolfson College
24
Jan 2024
Speech recognition from brain scans
Dulhan Jayalath
Recording of the seminar can be viewed here.
  • Date
    05:00 PM - 06:00 PM
  • Location
    Wolfson College
17
Jan 2024
MORAL UNCERTAINTY IN AUTONOMOUS AGENTS
Jázon Szabó
Recording of the seminar can be viewed here.
  • Date
    06:00 PM - 07:00 PM
  • Location
    Wolfson College
06
Dec 2023
Physics-informed generative networks
Dr Fabio Pizzati
  • Date
    01:00 PM - 02:30 PM
  • Location
    Wolfson College
30
Nov 2023
Bridging Millennia: Machine Learning's Impact on Assyriology
Ms Émilie Pagé-Perron
  • Date
    01:00 PM - 02:30 PM
  • Location
    Wolfson College
23
Nov 2023
Embeddings for Knowledge Graphs and Multimodal Representations
Dr Nitisha Jain
  • 01:00 PM - 02:30 PM
  • Location
    Wolfson College
25
Oct 2023
Some applications of AI in Mathematics and Theoretical Physics
Dr Andrei Constantin
  • 01:00 PM - 02:30 PM
  • Wolfson College
13
Jun 2023
Personalised Treatment for Mental Health
Dr Qiang Liu
  • 02:00 PM - 03:30 PM
  • Wolfson College
2
Jun 2023
INNOVATING IN MEDICAL DEVICE DEVELOPMENT
Dr Miguel Xochicale
  • 02:30 PM - 04:00 PM
  • Wolfson College
26
May 2023
Towards Safe & Robust AI for Image-Guided Diagnosis and Intervention
Dr Mobarakol Islam
  • 02:30 PM - 04:00 PM
  • Wolfson College
19
May 2023
Feature Attribution for Neural Network Explanation & Diversified Dynamic Routing for Vision Tasks
Csaba Botos & Ashkan Khakzar
  • 02:30 PM - 04:00 PM
  • Wolfson College
13
Mar 2023
Intelligence, artificial or not: conversations between developmental neuroscience and AI
Dr. Martin Frasch
Recording of the seminar can be viewed here.
More information: FraschLab.org
  • 02:30 PM - 04:00 PM
  • Wolfson College
21
Feb 2023
How Do Language Models Like ChatGPT Process Complex Words?
Mr. Valentin Hofmann
Recording of the seminar can be viewed here.
  • 02:30 PM - 04:00 PM
  • Wolfson College
9
Feb 2023
Advances in Sentiment Analysis of the Large Mass-Media Documents
Dr. Nicolay Rusnachenko
  • 02:30 PM - 04:00 PM
  • Wolfson College
19
Jan 2023
An Arms Race in Intellectual Property Protection of Deep Learning Models
Dr Youcheng Sun
  • 02:30 PM - 04:00 PM
  • Wolfson College
12
Jan 2023
GENERATING PATIENT RECORDS USING DIFFUSION MODELS
Dr Taha Ceritli
  • 02:30 PM - 04:00 PM
  • Wolfson College
12
Dec 2022
LEVERAGING MACHINE LEARNING TO IDENTIFY BLOOD CANCER TYPES
Ms Helen Theissen
  • 02:30 PM - 04:00 PM
  • Wolfson College
21
Jun 2022
Application of deep learning in fetal heart rate monitoring
Dr Daniel Asfaw
  • 03:30 PM - 05:00 PM
  • Florey Room, Wolfson College
30
jun 2022
Deep learning strategies for ultrasound in pregnancy
Dr Yi Yin
  • 1:00 PM - 2:30 PM
  • Florey Room, Wolfson College
15
jul 2022
Predicting activity patterns of regulatory elements in zebrafish using ML
Ms Andrea Rodriguez Delherbe
  • 3:00 PM - 4:30 PM
26
jul 2022
Agent-based modelling of accent retraction in Balto-Slavic
Mr Toby Hudson
  • 4:00 PM - 5:30 PM
About Us
A vision for an open, cross-disciplinary machine learning network
Founded in 2019 by Dr Stephen Suryasentana (now at University of Strathclyde) and Dr Yaling Hsiao (now at Birmingham University), OxfordXML (where XML stands for Cross-disciplinary Machine Learning) is a research cluster based in Wolfson College that aims to provide a cross-disciplinary platform for researchers across different disciplines to come and share their experience on how machine learning or artificial intelligence has impacted on their research. Furthermore, it hopes to provide an open community for researchers across different departments to connect and initiate interdisciplinary collaboration.
Committee
  • Prof Antoniya Georgieva (Cluster Head) - Research focus on Health ML/AI
  • Prof Konstantinos Kamnitsas (Governing Body Fellow Overseeing the Cluster) - Research focus on Health ML/AI
  • Dr Yi Yin (Lead Organiser) - Research focus on Health ML/AI
  • Dr George Barker (Treasurer) - Research focus on Economics, Finance, Law, Public Policy & ML/AI
Cluster Affiliates
  • Dr Csaba Botos (Member of Events Organisation Team) - Industry Affiliate
  • Hussein Ibrahim (MSc Student in Applied Digital Health) - Research focus on Health ML/AI
To join our mailing list: CLICK HERE
Please fill in this form if you're interested in joining as a student affiliate.
Contact us below if you are interested in speaking at our events