Manchester, UK
mark@douthwaite.io

Mark Douthwaite

Building advanced Artificial Intelligence Systems for new operational and commercial applications.

Skills

RESEARCH

I’m an insatiably curious person, carrying out research into complex technical problems is hugely rewarding for me. I have contributed to research in both Theoretical Physics and Computer Science.

ENGINEERING

I love designing and developing advanced technological systems that  use new or unconventional technology. I’ve helped develop and deliver advanced software tools in both academic and commercial environments.

A.I.

I’ve developed new Artificial Intelligence (AI) tools, frameworks and development practices. I’m particularly interested in  developing and assuring productionised AI platforms. I’ve had experience working in the assurance of Autonomous Vehicles.

DATA SCIENCE

Numerical analysis forms the basis of much of my work and research. I find using mathematical modeling to providing valuable insights exciting and fascinating. I’m also enjoy client facing work and helping people solve real-world business problems.

AI ENGINEERING

Enterprise Artificial Intelligence System

At Peak, we’re building an enterprise system that is designed to replace legacy CRM, ERP and other business intelligence systems with a single, centralised platform driven by the latest advancements in AI. This Enterprise AI System can help businesses manage, unify and protect huge volumes of data, while also support decision making and analytics across multiple business functions. Peak’s AI Engineering team is playing a central role in bringing AI-enhanced software features to the platform.

PRODUCTS

AIS – The first enterprise Artificial Intelligence System.

TOOLCHAIN

Spark, Keras, Tensorflow, AWS Sagemaker, GraphQL …

TECHNIQUES

Entity Embeddings, CNNs, RNNs, Boosted Trees, Prophet…

CLIENTS

GSK, Speedy, Footasylum, NorthEdge, Regit …

HIGH INTEGRITY SYSTEMS ENGINEERING 

Mission-Critical Artificial Intelligence

Artificial Intelligence-base Systems are being deployed in new and novel applications. Many of these applications have serious implications for the safety of operators and the public, and for the effective functioning of mission-critical systems. My research looks into the deployment of Bayesian Network-based systems in mission-critical Prognostic Health Monitoring (PHM) roles aboard autonomous vehicles, and how these systems could be developed to assure their safety and security.

COLLABORATORS

Prof. Tim Kelly

ORGANISATIONS

Department of Computer Science, University of York

PARTNERS

BAE Systems Ltd
Engineering and Physical Sciences Research Council

CONFERENCES

IEEE ISSRE 2017
SCSC SSS 2018

Latest News

The latest news from my career, research and adventures.

Article Update: The I Newspaper and Mail Online

The Daily Mail Online and the physical edition of The I Newspaper ran with our article. That was a pleasant surprise. You can find a modified version of the article[…]

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New Magazine Article: Reservoir Computing

I have another article up over on The Conversation, you can check it out here. This time I’ve collaborated with a colleague, and we’re on the edges of some current[…]

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Business Innovation Award Winner 2015

Great news! My team, redstart, won this year’s Business Innovation in Digital Technology Award from the University of York Computer Science Department. The award was sponsored by IBM, and was[…]

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