In the latest edition of RSS NEWS we communicated the names nominated by Council for election to fill the six vacancies for terms beginning in 2014. Their biographies are now listed below.
Fellows may still make other nominations if they wish and can contact the executive director for more information.
KAVANAGH, Kimberley (b.1981, el.2008)
Kim is a chartered statistician who studied for a BSc in Mathematics, Statistics and Economics and a PhD in Statistics at the University of Strathclyde in Glasgow. She currently works at Strathclyde as a statistical research associate with an interest in public health epidemiology. Her research, which is conducted jointly with NHS researchers, focuses on disease surveillance and the monitoring of vaccine effectiveness. In addition to her research she teaches on undergraduate statistics courses at Strathclyde. Kim was a member of the Young Statisticians Section of the RSS from 2009-2012, acting as secretary from 2011 and is currently secretary of the RSS Glasgow local group.
MURRAY, Liam (b. 1977, el.2009)
Liam obtained his BSc in Mathematics in 2001 and joined the Government Statistical Service, working in a variety of roles across the GSS over the last 12 years. Working initially at the Ministry of Defence, Liam primarily worked on manpower planning statistics, modelling recruitment and promotion requirements, providing statistical evidence to the Armed Forces Pay Review Body, and ad-hoc statistical advice to policy colleagues. He then moved to the Office for National Statistics where he headed up the National Statistician’s Private Office, working under the tenure of Len Cook and Dame Karen Dunnell. He relocated to Newport in 2007 to work in ONS’s Social Survey Division, where he was responsible for the General Lifestyle Survey (formerly the GHS) and oversaw the introduction of the Life Opportunities Survey, a longitudinal survey looking at various aspects of disability across the UK. While on an 18 month secondment to the RSS, Liam oversaw the development of StatsUserNet, a social network website for users of official statistics, promoting continuous engagement between producers and users of official statistics. More recently, Liam has been the statistician responsible for business price inflation statistics at ONS and is currently chair of the South Wales local group.
PENNECK, Stephen (b.1951, el.1982)
Stephen Penneck is currently president of the International Association for Official Statistics, having retired last September as director general at the Office for National Statistics. He is a fellow of the Royal Statistical Society and a chartered statistician, and an elected member of the International Statistical Institute.
Since retirement Stephen has published articles and given lectures on a range of topics in official statistics including business statistics, open data, governance and trust, economic statistics, quality in administrative sources and the role of statistical leadership in the redesign of statistical systems. He contributed last November to a workshop organised by the ISI for Director Generals of national statistical institutes in south east Asia, and recently conducted a study for the RSS on supporting statisticians in government. He was editor of the Statistical Journal of the IAOS from October to April 2013.
Prior to becoming director general, Stephen had responsibility for methodological advice to the ONS and the Government Statistical Service, including advice to the National Statistician on quality, standards, best practice, surveys, administrative sources, analysis and the Census.
As director of surveys and administrative sources, he had responsibility for all ONS surveys and their outputs, including the Consumer Price Index, the Labour Force Survey, and business surveys feeding the National Accounts. Previously, Stephen provided statistical policy support to the former National Statistician, Len Cook, and in 2002 he completed a five-month secondment to the Australian Bureau of Statistics.
Stephen studied for his BSc in Economics and Statistics at Southampton University and has an MSocSc in Econometrics from Birmingham University.
TODD, Sue (b.1969, el.1992)
Currently Professor of Medical Statistics within the Department of Mathematics and Statistics at the University of Reading, with 20 years’ experience as an academic applied statistician working in the fields of clinical trials and epidemiology. Obtained a PhD (1994) and MSc in Biometry (1991) from the University of Reading and a BSc in Mathematics, Operational Research, Statistics and Economics (MORSE) from the University of Warwick (1990). Particular research areas of interest are adaptive designs and sequential clinical trials. Recent research has considered methodology for novel study design and analysis, in particular seamless phase II/III clinical trials involving treatment selection and multiple endpoints of interest.
Throughout her career she has collaborated with statisticians and clinicians in academia, industry and the public sector, including involvement in the design and analysis of several sequential clinical studies and being the independent statistical expect on the Data and Safety Monitoring Boards for a large number of multinational trials, both pharmaceutical and public sector funded. She was a member of the RSS Reading local group committee between 2007 and 2011 and is an academic representative on the PSI (Statisticians in Pharmaceutical Industry) Scientific Committee since 2008, associate editor for Statistics in Medicine since 2007 and for Computational Statistics and Data Analysis between 2008 and 2012.
MACINTYRE, Cecilia (b. 1958, el.1983)
BSc Mathematics, 1980. MSc Statistics, 1983. Currently Head of Quality Assurance for Scotland’s Census 2011 at the National Records for Scotland (since 2011). Main interests are application of statistical methods in demography and social statistics, encouraging use of official statistics through dissemination, training and development of quantitative skills, team working across professional groups.
Previous posts reflect a wide range of interests in the application of statistics in academia, government and within regulating body: Statistical Assessor with the UK Statistics Authority, 2009-2011. Government statistician posts including head of population and migration statistics at the General Register Office for Scotland, 2002-2009; housing statistician 2000-2002 at the Scottish Government; survey statistician on the Scottish House Condition Survey 1995-2002 at Scottish Homes. Lecturer in medical statistics at the University of Edinburgh with teaching responsibility on medical programmes and as researcher on a range of collaborative projects including the Edinburgh Lead Study and a number of clinical trials 1983-1995.
Member of the RSS Social Statistics Section (1990-1994), held post of secretary and chair of Edinburgh local group committee and member of organising committee for the RSS conference in Edinburgh 2009, member of the Economic and Social Research Council Research Resources Committee 2001-2004, British Society for Population Studies Council 2009 – 2012.
MACINNESS, John (b.1956, el.2012)
MA Sociology Aberdeen 1978, PhD Glasgow 1983. Associate Dean (Quantitative Methods) College of Humanities and Social Science; Professor of Sociology, School of Social and Political Science, University of Edinburgh. Strategic Advisor to Economic and Social Research Council on QM Training. Member of the getstats board since its formation. Member of the British Academy High Level Strategy Group on Quantitative Methods.
His main interest lies in the development of statistical literacy in general, and in returning the proper knowledge and use of statistics to the centre of the social sciences in particular. He is thus also concerned about the nature and development of school maths and statistics education and the content of A-Levels, as well as university social science curricula and degree programme bench marks. As a researcher his interest is in the connection of sociology with demography in order to understand the impact that demographic change has had upon both gender relations and on inter-generational relations.
MAZUMDER, Anjali (b.1977, el.2012)
Anjali Mazumder is currently a research fellow in RISCU (Risk Initiative and Statistical Consulting Unit) of the Department of Statistics at the University of Warwick, and director of a statistical research consultancy, Evidence, Decision-Making, Inference & Enquiry (EDMIE) Services Ltd., that she established in 2011. She holds a doctorate in Statistics from the University of Oxford and two masters’ degrees in Measurement and Evaluation, and Statistics from the University of Toronto.
Her research interests are in probabilistic expert systems, decision analysis, information theory, Bayesian methods, and causal inference. Her research focuses on developing and applying statistical methods to estimate the value of evidence, combine complex data structures using graph modular methods, communicate statistical underpinnings of complex evidential reasoning using network structures, and build decision-support systems for evaluation and impact assessments. She has a strong interest in tackling fundamental statistical problems of societal importance, namely in forensic science and criminal justice, international development, health, and education.
She has over 10 years’ experience working at the interface of research, policy and practice and across public, private and non-profit organisations in Canada and the UK. She has a strong interest in using statistics to inform decision-making in policy and practice, and in fostering collaboration across sectors, disciplines and borders to strengthen knowledge capacity and innovation. She promotes the communication of statistics and role of statisticians by training researchers, practitioners and policy-makers in the fundamentals of statistics and probability for use in reasoning and decision-making, and by actively engaging in RSS activities such as serving as a judge in the statistical excellence in journalism awards. In 2012, Anjali was appointed by Canada’s Minster of Public Safety to serve on the National DNA Data Bank Advisory Committee.
DUGUID FARRANT, Trevor (b.1966, el.1998)
Trevor graduated in mathematics from UoL in 1988, followed by a post graduate certificate of education. Currently he is the Global Statistics Programme Leader for Cadbury. Here his team work with sensory data from trained panels and consumers.
Prior to that he worked 10 years at Gillette (P&G) coordinating their statistical capabilities. He and his team developed a wide range of techniques to analyse quality control, expert panel, consumer and analytical data. He is the recognised expert in shave test methodology and is responsible for many novel applications of statistical theory.
Before Gillette he spent 10 years at LGC as the Chemometrics & Statistics Manager where he wrote his first practical statistics book.
An active member within the Business & Industry section since 2000 in many roles including chair. He has very broad statistical interests looking for cutting edge technology to apply to the world of food production. His current research includes constrained dual scaling to categorise consumer response data by their ‘personality’.