Where Deep Learning Ends Deep Thinking Begins

Monitoring the Human Machine

We help people monitor, adapt and take decisions based on current and vital information about a person's body. The ultimate goal is to avoid the need for treatment in the first place by passively collecting, transmitting, storing, and analysing personalised health information as an individual goes about daily life.

Novel & Cutting-Edge Science

We believe that the key to understanding and dealing with process complexity is simulation and monitoring. We have designed state-of-the-art methods to reprogram systems based on cutting-edge solid research. We have designed and implemented novel techniques for fast pre- and post-processing data to track essential information and provide decision-making with algorithmic analytics. Our techniques involve synthetic simulation, network modelling, dynamical systems, complexity indexes and algorithmic perturbation analysis, bridging research, science and industry.

A.I. Against Disease

We aim at connecting academia and industry not only by way of introducing traditional tools from machine and deep learning in applications to achieve well-known super-human capabilities and results in areas such as classification but also by implementing completely new and more powerful approaches that current machine learning is unable to cope with, such as algorithmic inference finding ways to match processes to e.g. faults, like we do with biological markers for diseases. Based on solid research, a strong publication record, and a pioneering team, the technology developed, involved and translated is at the forefront of science. 

​Our technological pipeline involves performing massive in silico simulations that allow us to build a constant stream of artificial data that is tested against empirical observations to produce candidate generative models to be tested in a continuous model-data driven cycle. What is learned from both populations and individual cases is then used as knowledge and model-driven based solutions for detection and prediction.

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About Us

Oxford Immune Algorithmics  (OIA) is an Oxford University Innovation venture, a subsidiary of the University of Oxford that invests in Oxford-related research.