Council nominations for 2016

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At the end of this year, six members of the RSS Council are due to finish their term and new members will be needed to replace them. In January we asked fellows to nominate suitable candidates; Society regulations require Council to put forward two more nominations than the number of vacancies for ordinary members of Council. So having carefully taken into account all suggestions received, Council has now nominated the eight fellows named below for the six vacancies which due at the end of the year.

At this stage, further nominations can be made, should any four fellows wish to nominate another fellow as an ordinary member of Council. Such nominations should be sent to This email address is being protected from spambots. You need JavaScript enabled to view it. by 1 July, together with the written consent of the nominee(s).

An election for ordinary members will be held in September and October.

The eight nominees for the six vacancies on Council are listed below. The list of the current members of Council is available on the RSS main site at www.rss.org.uk/council.

Alison Cousley CStat (el. 2006)

Alison holds a BSc in Biology from the University of York (2003) and an MSc in Statistics from the University of Sheffield (2010). Alison has been a government statistician for more than 11 years and held numerous roles analysing, developing and advising on a range of labour market policies, research, and official and national statistics practices informing policy and operational decisions. She currently leads the evaluation of automatic enrolment at the Department for Work and Pensions. The workplace pension reforms are the largest change to private pensions for a generation and therefore of massive interest, through the evaluation Alison brings together a range of stakeholders and data sources to communicate progress and the impact of implementation to government officials, industry, employers and directly impacted employees.

Alison is passionate about building the capability of the statistical community and applies this within her department, via Government Statistical Service (GSS) activities and recruitment, and within the RSS. She is a chartered statistician and chartered scientist; a current committee member of the RSS Official Statistics Section; and is heavily involved in the Sheffield local group and its statistical activity network; organising talks and events to encourage links and knowledge sharing.

Sin Yi Cheung (el. 2012)

Sin Yi holds a DPhil in Sociology from Oxford University and is a reader at Cardiff University, the School of Social Sciences. She is also deputy director of Cardiff Q-Step Centre for Excellence in Quantitative Methods Teaching. She taught at Oxford Brookes and the University of Birmingham before joining Cardiff and has extensive experience teaching statistics to undergraduate and postgraduate social science students. Sin Yi has previously held visiting positions at Wisconsin-Madison, UCLA and Stanford University. Her main research interests range from the link between education and the economy, labour market inequalities, ethnic minorities and refugees in Britain to children in care. Building on her expertise in using large-scale complex datasets, her recent work focuses on the effects of social work intervention on young people and refugee integration using longitudinal data and treatment models.

Since 2011, Sin Yi has been actively involved in several ESRC and British Academy initiatives addressing the quantitative deficit in UK Social Sciences. She held several ESRC awards in the Quantitative Methods Teaching Initiatives, which culminated to the Nuffield Q-Step Centre at Cardiff.Her ESRC-RDI (Researcher Development Initiative) project directly contributes to strengthening quantitative social sciences in the UK by establishing an international network of quantitative pedagogy and ‘training the trainers’. She leads on the curriculum development of a new degree, 'Social Analytics' at Cardiff School of Social Sciences and delivers training workshops on quantitative pedagogy, survey methods, data collection and analysis nationally and internationally, including the International Baccalaureate Office in The Hague.

Guy Nason (el. 1989)

Guy is professor of statistics and director of the SuSTaIn initiative at the University of Bristol. He obtained his BSc and PhD from the University of Bath and the Diploma in Mathematical Statistics from the University of Cambridge. He has held academic appointments at the Universities of Bath and Chicago and was Head of the School of Mathematics at Bristol from 2008-12.

His research interests are in time series analysis, multiscale methods, network processes, energy and official statistics and was awarded the 2001 Guy Medal in Bronze from the Royal Statistical Society for his work on wavelets in statistics. He is currently associate editor of Biometrika (since 2008) and Applied Computational Harmonic Analysis (since 2012) and was previously associate editor for Series B of the Society's Journal, Statistica Sinica and Computational Statistics.

He has been an Engineering and Physical Sciences Research Council (EPSRC) advanced research fellow (2000-5), an established career fellow from 2013 and was a member of the EPSRC Strategic Advisory Team in Mathematics (2007-10).

For the Royal Statistical Society he served as an Avon Local Group committee member (1992-5) and secretary (2000-1), Research Section committee member (1996-9) and secretary (2002-4), elected member of Council (2004-8) and served on the finance committee. He was the programme committee chair for the Society's 175th Anniversary Conference in Edinburgh in 2009. 

He is also a Fellow of the Institute of Mathematics and its Applications and member of the Institute of Mathematical Statistics, the Bernoulli Society, the International Statistical Institute and the International Association for Statistical Computing.

Apostolos Fakis CStat (el. 2006)

Apostolos obtained a BSc in Statistics from Athens University of economics and Business (2004) and an MSc in Medical Statistics from University of Lancaster (2005). He has worked as a senior medical statistician at Derby Hospitals NHS Foundation Trust since 2005 and has expertise in research design and clinical trials methodology. He is an active researcher and disseminates his work through both conferences and written journals and has wide experience in applying for successful grant applications. As a certified member of Association of Clinical Data Management he is qualified to provide high quality data management to clinical trials of investigational medicinal products.

Apostolos was vice-chair of the Derbyshire Research Ethics Committee. He is currently a statistical reviewer for National Institute Health Research (NIHR) funding programmes and for The Lancet, and a statistical advisor to the Diabetes, Obesity and Metabolism Journal. He is a fellow of the Royal Statistical Society and a chartered statistician.

Apostolos is undertaking a Doctorate in Health and Social Care Practice with special research interest in mixed methods and in the application of Structural Equation Modelling (SEM) to qualitative data. He has developed a new mixed method, named “Enosis”, for analysing qualitative data derived from interviews using SEM.

Marc Kennedy (el. 2007)

Marc is senior statistician at Fera Science Ltd (formerly the Food and Environment Research Agency). He obtained a BSc in Mathematics and Computer Science (1992) and a PhD in Statistics (1996) from the University of Nottingham. Since then, Marc has held research positions at the universities of Nottingham and Sheffield and spent two years at the US National Institute of Statistical Sciences before joining Fera in 2006. His early research was focused on analysis of uncertainties in computer simulators, which included the development of new methodology, general purpose software tools and a wide range of applications (radiological protection, spot-welding, vehicle crash testing, vegetation carbon dynamics, microbial risks, bird populations and pesticide spray drift).

At Fera Marc has worked on projects for Defra and other government agencies (Chemicals Regulation Directorate, Food Standards Agency) plus several large collaborative EU projects on exposure to pesticides and food safety/nutrition. These assess health risks and benefits to consumers, considering their dietary intakes, as well as occupational risks to spray operators and local residents/bystanders. Marc worked as an expert advisor on three opinions of the European Food Safety Authority (EFSA). He also worked on projects related to risk mitigation and quantifying uncertainty in dietary exposure assessments with the International Life Sciences Institute (ILSI-Europe).

He has served on the RSS Environmental Statistics Section since 2008. He has read a paper on Bayesian calibration of computer models to the society, which was subsequently published in JRSS B.

Malcolm Hall (el. 2003)

Malcolm currently works on the population health of fish at Marine Scotland Science, part of Scottish Government. This position includes providing statistical consultancy to other researchers at the institute by working closely with colleagues in the statistics group. Prior to this he was a statistician at the Epidemiology Unit of the ex-Scottish Agricultural College in Inverness and also the Criminal Justice Service of Highland Council. Previously he trained in anthropology and applied genetics at universities in London (BSc), Birmingham (MSc) and Edinburgh (PhD); and it was during these studies that he became increasingly interested in statistics.

Malcolm joined the Royal Statistical Society as a non-professional fellow 12 years ago following a realisation that his focus and way of working was statistical rather than anything else – the response of non-statistical colleagues and family to his enthusiasm for his work seems to confirm this. As a member of the RSS he has served the Highlands Local Group as honorary secretary helping to bring speakers to the north of Scotland in support of the regional statistical and analytical community.

Jenny Lannon (el. 2008)

Jenny is a principal statistician at NHS Blood and Transplant, specialising in heart and lung transplantation. She is responsible for coordinating research projects and national reports on activity and outcomes associated with cardiothoracic transplants. Jenny graduated with a first class degree in Mathematics and Statistics from Plymouth University (2006) followed by an MSc in Biometry (2007) and a PhD in Applied Statistics (2010) from the University of Reading. Following her PhD, Jenny trained for two years as an actuary and subsequently worked as a statistical consultant at an environmental consultancy before joining NHS Blood and Transplant. Her particular area of interest is in evaluating the impact of new clinical strategies upon the quality of donor organs.

Jenny was the first Chair of the RSS Young Statisticians Section (YSS) for which she served two years on the Section committee. During her time as chair, the YSS organised many events including a very successful launch event, a Careers Day for young statisticians and Pre-Ordinary Meetings. Jenny also gave a talk on the future of statistics at the RSS 175th anniversary lectures. The YSS continues to grow from strength to strength and in 2014 Jenny received the RSS Chambers Medal for her instrumental role in the formation and establishment of the Section.

Giuliana Battisti CStat (el. 1999)

Giuliana is a Professor at Warwick Business School.  She has taught statistics to undergraduate, postgraduate, MBA students and practitioners since 1994 in the UK and abroad.

Giuliana is chair of the Business and Industry Section (BIS) of the RSS, a member of the West Midlands Local Group and a chartered statistician of the RSS.  She has been an active member of the GAS section of the RSS and of the CAUCUS for Women in Statistics of the American Statistical Association. She has been the CAUCUS member of the FN David Prize Committee (Prize awarded at the ASA conference to a woman based upon her contribution to the statistical field worldwide). In 2010 she launched the Business and Industrial Section paper award for the best application of statistical tools to the analysis of industrial and economic issues awarded at the annual Network of Industrial Economists doctoral colloquium.

Her interests include the application of statistics in business studies such as Markov models for the determination of causality in distribution in the presence of sequential decision models. She is also interested in new measures of consumer and firm behaviour in the diffusion of innovations e.g. the application of epidemic models when measuring the infectiousness of innovations.

Giuliana has been member of the Advisory Group on innovation surveys of the ONS and the BIS department as well as an advisor to the BIS department on the Community Innovation Survey (CIS) carried out on their behalf by the ONS.

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