UCL Department of Chemical Engineering


UCL Chemical Engineering UG Offer Holders Virtual Open Day - 11 June 2020

11 June 2020, 9:00 am–11:00 am

Image of the UCL Engineering main entrance

Please note: this event is only open to UK/EU and Overseas Undergraduate Offer Holders of the UCL Chemical Engineering Programme.

This event is free.

Event Information

Open to







Mark Bernardes – UCL Chemical Engineering


UCL Chemical Engineering
Roberts Building
Torrington Place
United Kingdom

Our Undergraduate Programme Admissions Tutor, Dr Federico Galvanin will be available online with researchers and students to answer all your questions about the application process, programme content, research opportunities, financial support, life at UCL and career destinations of our graduates.

Schedule of activities:

  • 9 am - 10 am: Introduction and presentation by Dr Federico Galvanin (UG Programme Admissions Tutor)
  • 10 am – 11 am: Q&A with academics and student helpers

Please note, we will do our best to answer questions about the current Covid-19 situation, and what effects this may have going forward. Do visit UCL's main coronavirus webpage for the latest updates (see section 8 for prospective students).

UCL uses a third party (Zoom) to administer our webinar/virtual open days and manage your personal information on our behalf. If you are happy for us to process your data solely for this purpose, please continue by entering your details below. Our Prospective Student Privacy notice is available here.

About the Speaker

Dr. Federico Galvanin

UG Programme Admissions Tutor at UCL Chemical Engineering

Federico Galvanin
Dr. Federico Galvanin is Lecturer and Undergraduate Admissions Tutor at UCL Chemical Engineering. He obtained his Master’s degree in Chemical Engineering in 2006 from the University of Padova (Italy) and the PhD degree in Industrial Engineering in 2010 from the same university. Dr. Galvanin’s teaching interests are in the areas of process modelling, design and simulation. He is the coordinator of the 4th year module “Process Systems Modelling and Design” and of the 3rd year module “Process Dynamics and Control”. His research interests lie at the interface between mathematical modelling and experimentation, with a specific expertise in the development and application of computational methods for fast model development using physics-based modelling, statistical planning and machine learning techniques. In his group algorithms are developed to optimally design experiments in automated platforms to identify predictive mathematical models with the minimum cost, time and effort. More about Dr. Federico Galvanin