The Employability Tuesday series has ended, providing a good opportunity to reflect on how it enhanced the student experience with the School. Since its inception, it offered a space for students to explore potential careers, meet employers and gain confidence about life after graduation.

The second annual HiGHS Workshop welcomed 47 attendees that use or distribute HiGHS – the world’s best open-source linear optimization software – including representatives from Microsoft and Edinburgh Airport.

Kit Searle, one of our operational researchers, is hosting a workshop to foster new collaborations between stakeholders and Médecins Sans Frontières, also known as Doctors without Borders.

Through collaboration with NVIDIA, HiGHS is excited to push the boundaries of what’s possible in GPU-accelerated optimization.

This year’s challenge was run in partnership with Public Health Scotland and involved undergraduate students from across the UK acting as consultants to derive a data-driven optimization strategy for a strategic resource allocation problem.

We caught up with first year PhD student Ben Champion to learn about the benefits of doing a PhD funded by industry.

By collaborating with the National Energy System Operator and other industry partners, our researchers are helping to shape the future of energy in the UK and beyond.

Thinking about a career in data science or operational research? Scott Jenkins’ journey might inspire you. In this blog, he shares how his MSc in Operational Research with Data Science gave him the skills to transition from a retail job to a fulfilling role in the energy sector.

Representatives from MathWorks, Microsoft, Octopus Energy, and Tesco joined the first annual HiGHS Workshop, bringing together users of the world’s best open-source linear optimization software.

The Centre for Statistics at the University of Edinburgh hosted a data-packed conference featuring talks, posters, and collaboration across disciplines. Research Communications Intern Nadia Johnson reports on the event, highlighting the range of data science topics covered.