Month: September 2022

Bringing physics to life: new first-year labs, a student experience

Imperial undergraduates, Anubha Bal and Warren Smith, recently took a little time out from their studies to star in a short video, joining staff members to share thoughts on the new first year labs in the Department of Physics.

In this post, they reflect in more detail on how the new facilities have impacted their learning and experience of experimental physics, and also their career aspirations.

By Anubha Bal and Warren Smith

This past year, we and the rest of our cohort of first-year physicists had the fortune to be the first students to experience the newly refurbished labs in Blackett. Here, we share our experience of this and how it has shaped us and our perspective on experimental physics.


The bigger picture: collaboration can bring research to life

Dr Adam SykulskiDr Adam Sykulski is a Senior Lecturer in the Statistics section of Imperial’s Department of Mathematics. He recently attended an Environment and Sustainability theme event at Silwood Park, organised as part of Silwood’s 75th Anniversary celebrations.

In this post, Dr Sykulski reflects on why he attended the event, what he took away – valuable information about funding strategies, grant applications and potential collaborators – and reasons why researchers at all career stages should engage.

By Dr Adam Sykulski

My research is in mathematical statistics with a focus on data that are spatiotemporal – in other words, data that are collected at multiple instances over space and time and are in some way connected. Such mathematical challenges, while interesting in their own right, truly come to life when they find an application domain to work closely with. In my view, there isn’t a more natural domain for this than the environmental sciences! As I’ve aimed towards such a collaboration to help build the impact and usefulness of my research, over the years I’ve been drawn to working with oceanographers.

Of course, the statistical challenges in oceanography – modelling plastic pollution, oil spills and global warming, for example – are pressing and important. What really drew me in as a statistician, however, were the fascinating physical structures that underpin oceanographic data, but are in reality contaminated by observational noise and uncertainty, thus requiring a cross-disciplinary approach to resolve the scientific challenge. (more…)