Senior Head of Technology & Research – Weta Digital
Luca Fascione is Senior Head of Technology & Research at Weta Digital, where he oversees Weta’s core R&D efforts including Simulation and Rendering Research, Software Engineering and Production Engineering.
Luca is the lead architect of Weta Digital’s next-generation proprietary renderer, Manuka. This renderer is the culmination of a three-year research endeavour involving over 40 researchers and continues to allow Weta Digital to produce highly complex images with unprecedented fidelity.
Luca joined Weta Digital in 2004 and has also worked for Pixar Animation Studios. Through a partnership with NVIDIA, Luca co-developed the GPU-based PantaRay that was instrumental in the making of the movie Avatar, and (since 2011’s The Adventures of Tintin) also became the foundation of volumetric shadow support within the Weta pipeline. Luca was recently recognized with a Scientific and Engineering award from the Academy of Motion Pictures for his work on FACETS, Weta’s facial motion capture system.
Head of Research Software Development – Research IT Services, UCL
Head of Research Engineering – The Alan Turing Institute
A growing proportion of researchers carry out their research through the medium of computer code, whether in traditional programming languages, or in domain specific languages used by modelling platforms. Such research often suffers through the lack of software development best practice within research teams. While postdocs and PhD students often do not have the time, and are not incentivised, to produce high-quality software usable by other researchers and sustainable beyond the lifetime of a project, generic contract software developers are not equipped to understand the academic context of the research. In the UK, a solution has emerged since 2012 in the form of a new kind of research professional: the Research Software Engineer combines the knowledge and expertise of a computational scientist with the values of a professional software engineer.
James is the founder of the Research Software Engineering Group at University College London, the first such group in the UK, which has grown over five years to ten members of staff, and has also recently been appointed as the head of Research Engineering at the Alan Turing Institute, the UK’s new national institute for data science.
He advocates that readable, reliable and efficient software, written for humans to understand as well as computers to execute, forms an important part of research communications and can deliver significant research impact, and his team works with researchers in many different fields to put this into practice. James has been instrumental in establishing the role of the Research Software Engineer as a recognised career path in the UK science system and in promoting the value of research software as a first-class research output. He aims to build a stable home for research programmers within research institutions, and to secure for research the benefits of the high-quality software they write.
Professor Marina Jirotka
Professor – Human Centred Computing, Department of Computer Science
Associate Director – e-Research Centre at the University of Oxford
Marina Jirotka is Professor of Human Centred Computing in the Department of Computer Science and Associate Director of the e-Research Centre at the University of Oxford. She leads an interdisciplinary research group investigating the responsible development of ICT. Her research has long been concerned with bringing a richer understanding of work practice into the process of engineering technological systems. Early in her career, she helped develop the use of video-based ethnographies in Requirements Engineering which she drew upon later in her research on e-Research applications in a wide variety of projects, including studies involving applications in e-Health, e-Science and e-Humanities. In these studies, Marina was concerned with how technologies could be developed to be sensitive to the interpretative practices of scholars and scientists, support forms of collaborations between practitioners, and help maintain trust built up between participants.
In developing innovative solutions to particularly complex problems, these projects raised a general set of issues for the participants for example, regarding how data could be shared, how data could be reused in different settings, and how digital archives raised many challenges at the institutional, disciplinary and personal level where researchers found themselves caught between conflicting requirements. These issues, though often characterised as ‘social or ethical’, raised concerns that are much broader than those usually considered in formal ethical procedures. To try and unpack and address such issues, Marina has been at the forefront of recent research in Responsible Research and Innovation (RRI) in both the UK and the European Union. Her current projects involve a range of topics in RRI: she leads the Responsible Innovation initiative for Quantum Technologies; she has co-developed a social charter for embedding novel platforms into Smart Societies; and from her work on the spread of hate speech and misinformation on social media, she has recently been appointed specialist advisor to the UK House of Lords Select Committee on Communications for their inquiry into Children and the Internet.
Deputy Director – Auckland Bioengineering Institute
Deputy Director – The Medical Technologies CoRE
Associate Deputy Vice-Chancellor (Research) PBRF – The University of Auckland
Professor Merryn Tawhai is the Deputy Director of the Auckland Bioengineering Institute, University of Auckland, and Deputy Director of the Medical Technologies Centre of Research Excellence. Merryn’s research is in computational respiratory physiology, developing anatomically-detailed models of the lung that span cell-to-organ function. She was awarded the 2016 RSNZ MacDiarmid Medal for “outstanding scientific research which demonstrates potential for human benefit”.
Creating a personal digital lung
There are currently very few tools for quantitative assessment of the lung prior to surgery, radiation treatment, or other interventions. Current tools focus on image analysis, usually based on densitometry or texture analysis. No tools are currently available for patient-specific prediction of respiratory system function post-treatment. We are developing a digital lung model that provides the capability to predict redistribution of air and blood flows and their impact on gas exchange and other physiological functions in response to various interventions or treatments. The digital lung spans from the nasal and oral airways to the deepest smallest parts of the lung, connects to the circulatory system, exchanges respiratory gases, and interacts with models for central and peripheral respiratory control. A lean version of the model provides rapid analysis of breath-by-breath data at the bedside, and higher fidelity versions of the model provide deep analysis of patient response to treatment. Inclusion of imaging and pulmonary function data from hundreds of normal healthy subjects means that the model appropriately represents structure-function relationships over the full adult lifespan. We now have a full personalisable model that has the capability to link 3D imaging (MRI or PET of ventilation defects) to forced expiration (the mainstay of pulmonary function testing) and other laboratory tests that are more sensitive to ventilation heterogeneity. The ultimate goal is to provide a comprehensive tool that can be used to predictively test interventional approaches and therapies, both well in advance and at the bedside, to develop and optimise new and current treatments for the individual, as well as to identify and stratify patients into risk groups and groups in need of more targeted, personalised therapies.