Richard Allmendinger

  • Professor of Applied Artificial Intelligence, School Business Engagement Lead, Management Sciences
  • Alliance Manchester Business School, The University of Manchester , Room 3.017, Booth Street West

    M15 6PB Manchester

    United Kingdom

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Personal profile

Biography

Richard is Business Engagement Lead of Alliance Manchester Business School, Professor of Applied Artificial Intelligence at The University of Manchester, and Turing Fellow at The Alan Turing Institute, UK's national institute for data science and artificial intelligence. He is also an External Examiner at Warwick Business School, University of Warwick, and Advisory Board Member of the first dedicated AI fund in the North of UK, which is managed by local private equity company River Capital. 

Prior to Manchester, he worked at the Biochemical Engineering Department, University College London.  He studied Business Engineering at the Karlsruhe Institute of Technology and the Royal Melbourne Institute of Technology and completed a PhD in Computer Science (Machine Learning & Optimization) at The University of Manchester.

Richard's research interests are in the field of data science and in particular in the development and application of optimization and machine learning techniques to real-world problems arising in areas such as healthcare, manufacturing, engineering, economics, sports, music, and forensics. Much of research has been funded by UK funding bodies (e.g. ESRC, EPSRC, Innovate UK) and industrial partners. 

Richard is a Member of the Editorial Board of several international journals, Vice-Chair of the IEEE CIS Bioinformatics and Bioengineering Technical Committee, Co-Founder of the IEEE CIS Task Force on Optimization Methods in Bioinformatics and Bioengineering, and contributes regularly to conference organisation and special issues as guest editors.

Overview

Qualifications

 

Opportunities

I am interested in supervising research students in the following areas:

  • Multiobjective optimization
  • Non-standard optimization and learning problems
  • Expensive optimization 
  • Merging optimization with machine learning
  • Real-world applications of optimization and machine learning
  • Decision-support systems

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 12 - Responsible Consumption and Production
  • SDG 16 - Peace, Justice and Strong Institutions

External positions

Advisory Board Member, Alliance Fund Managers Ltd

1 Dec 2022 → …

External Examiner, Warwick Business School

1 Nov 2020 → …

RMIT Honorary, Royal Melbourne Institute of Technology

1 Feb 201930 Apr 2019

Areas of expertise

  • QA75 Electronic computers. Computer science
  • optimization
  • decision-support systems
  • real-world problems
  • TS Manufactures
  • biochemical Engineering
  • Bioprocessing

Research Beacons, Institutes and Platforms

  • Institute for Data Science and AI
  • Digital Futures
  • Biotechnology
  • Sustainable Futures
  • Christabel Pankhurst Institute
  • The Productivity Institute

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