Personal profile

My group

Research Group(s)


I am a Professor in Decision Sciences in Alliance Manchester Business School (AMBS) and a member of the European Laboratory for Learning and Intelligent Systems (ELLIS). Prior to my appointment in AMBS I held an MRC Special Training Fellowship in Bioinformatics in Manchester's Faculty of Life Sciences at the University of Manchester, spending six months as a visiting researcher at the University of Washington, Seattle (2007-2011).

I hold a PhD degree from the Manchester Interdisciplinary Biocentre at the University of Manchester (2006), a Masters degree in Computer Science from the University of Erlangen-Nuremberg (2003), and an Honours degree in Computer Science from Monash University, Melbourne (2001). My Masters thesis was completed at the Artificial Intelligence Research Laboratory (IRIDIA) of the Université Libre de Bruxelles. My studies abroad were funded through scholarships of the German Academic Exchange Service (DAAD) and the Gottlieb-Daimler and Karl-Benz Foundation.

I have, as sole or joint PI, won research funding > £1m, and held a range of leadership roles within my research community and at the University of Manchester, most recently (2018-2021) acting as Associate Head of Division for the Management Sciences and Marketing division (Teaching), and (since 2021) as the Faculty of Humanities' e-research lead.

Research interests

I have experience working as a researcher in all three of Manchester's Faculties, and of engaging in knowledge exchange and consultancy with industry partners from a variety of domains. A computer scientist at heart, I am a passionate advocate of interdisciplinarity in research, and the potential of abstraction and mathematical and computational techniques to transcend traditional discipline boundaries.

My core methodological expertise lies at the interface between optimization and machine learning. I am best known for my work on unsupervised learning, and the transfer of concepts and techniques from multi-criteria optimization, evolutionary computation and multi-criteria decision making (MCDM) to cluster analysis, in particular. 

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 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 12 - Responsible Consumption and Production

Research Beacons, Institutes and Platforms

  • Institute for Data Science and AI
  • Digital Futures


Dive into the research topics where Julia Handl is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles