Presenter
Leandro Liborio
Biography
Current Position
I am a member of the Theoretical and Computational Physics Group (TCPG) working at the Rutherford Appleton Laboratory, in Harwell, Oxfordshire, UK. The TCPG works together with a number of scientific communities in the development, deployment, maintenance and training of computational modelling codes mostly based on electronic structure theories.
I am currently working on research projects in collaboration with the materials science community within our lab, with a special focus on muon spectroscopy.
I am a 2019 Fellow of the UK Software Sustainability Institute.
Previous Positions
Science Policy
Between January and April of 2016, I worked as Scientific Advisor for the Blavatnik School of Government at the University of Oxford. This role involved teaching at the Science and Public Policy core module in the the Master of Public Policy. This Master is a one-year taught degree course, whose purpose is to enable students to develop analytical and critical skills relevant for understanding the challenges of public policy and its implementation.
Intellectual Property
From November 2011 to September 2015 I worked as trainee patent attorney and patent assistant for the British firms Marks & Clerk and Boult. My job involved the drafting, preparation, filing and prosecution of PCT, UK and European patents in areas of expertise which included: nanotechnology, mechanical engineering, telecommunications, manufacturing processes, software and computer-implemented inventions.
Research
Between January 2006 and September 2011 I worked as a Research Associate at Imperial College London, where I was part of the London Centre for Nanotechnology. I was mostly involved in two large multidisciplinary projects. The first project was related to the computational modelling of thin films; and the second project was related to nanostructured materials for energy applications. My role was to develop and implement a theoretical formalism that could be used for the modelling of different nanosystems.
I am a member of the Theoretical and Computational Physics Group (TCPG) working at the Rutherford Appleton Laboratory, in Harwell, Oxfordshire, UK. The TCPG works together with a number of scientific communities in the development, deployment, maintenance and training of computational modelling codes mostly based on electronic structure theories.
I am currently working on research projects in collaboration with the materials science community within our lab, with a special focus on muon spectroscopy.
I am a 2019 Fellow of the UK Software Sustainability Institute.
Previous Positions
Science Policy
Between January and April of 2016, I worked as Scientific Advisor for the Blavatnik School of Government at the University of Oxford. This role involved teaching at the Science and Public Policy core module in the the Master of Public Policy. This Master is a one-year taught degree course, whose purpose is to enable students to develop analytical and critical skills relevant for understanding the challenges of public policy and its implementation.
Intellectual Property
From November 2011 to September 2015 I worked as trainee patent attorney and patent assistant for the British firms Marks & Clerk and Boult. My job involved the drafting, preparation, filing and prosecution of PCT, UK and European patents in areas of expertise which included: nanotechnology, mechanical engineering, telecommunications, manufacturing processes, software and computer-implemented inventions.
Research
Between January 2006 and September 2011 I worked as a Research Associate at Imperial College London, where I was part of the London Centre for Nanotechnology. I was mostly involved in two large multidisciplinary projects. The first project was related to the computational modelling of thin films; and the second project was related to nanostructured materials for energy applications. My role was to develop and implement a theoretical formalism that could be used for the modelling of different nanosystems.
Presentations
Minisymposium
Computer Science, Machine Learning, and Applied Mathematics