Committee

I am a Reader in Medical Statistics, responsible for teaching applied statistics across several areas, including medicine, dentistry, biomedical sciences, public health and planning. My teaching extends to undergraduates,  postgraduates, and occasionally, staff members. Currently, I run a statistical support hub for my faculty, involving one-to-one drop-in sessions, training courses and development of statistical resources. I love teaching statistics, as it allows me to engage with a broad audience - statistics courses, akin to Stats 101, manage to find their way into nearly every academic discipline.

I currently lead numerous research methods related modules, with a heavy focus on applied statistics to Master’s (qualified, distance learner) dentists, optometrists, and in-person undergraduate audiologists at Aston University. Previous teaching experiences have included teaching undergraduate medical students at the University of Sheffield, and teaching on CPD short courses as part of CASC (UCL). My main passion for teaching statistics to more applied students stems from the challenge of “translating” the theory to everyday, useful language; in addition to building on the good stats teaching I’ve received in the past (and learning from the bad!).

I am an Associate Professor at University College London. I gained a BSc degree in Statistics from the Athens University of Economics and Business (AUEB) and an MSc degree in Statistics from Lancaster University. I joined the UCL GOS Institute of Child Health in 2008 with a primary scope to develop a wide range of short statistics courses open to anyone interested in learning new statistical skills. Soon after, the Centre for Applied Statistics Courses was born. In 2020, I started co-directing CASC along with CASC's founder, Professor Angie Wade. I was awarded my PhD in April 2020 on the topic of "Copula models and their application within paediatric data”. Since 2022, I have been the sole Director of CASC and an Associate Professor (Teaching) at UCL. I continue to be very excited to watch and enable CASC to grow in the field of hybrid/face-to-face/online/self-paced statistics teaching and training for taught students and short-course participants.

I am a Senior Lecturer in Medical Statistics at the University of Bristol and Deputy Education Director at the Bristol Medical School. I have a 25-year career delivering applied statistics and epidemiology teaching to doctors, nurses and other healthcare professionals. I currently co-lead a unit on introductory statistics and epidemiology delivered to postgraduate students on our MSc programmes and co-lead a short course on linear and logistic regression delivered to healthcare researchers and postgraduate research students.

I enjoy working with students from diverse academic backgrounds and helping them to understand the value of statistics and how to apply statistical methods to their work.

Mona Kanaan is a Professor in Applied Health Research and Statistics at the University of York  and a Senior Fellow of HEA, a fellow of the Royal Statistical Society(RSS) and ex-chair of the RSS Medical Section.

Mona has over twenty-three years of experience in the design and delivery of post-graduate applied statistics modules and programmes and is a Senior Fellow of the Higher Education Academy. She is the Director of Post-Graduate Education and chairs the post-graduate teaching committee at the Department, has supervised numerous PhD students to successful completion, and acts as a mentor to early career researchers. 

She is passionate about capacity strengthening in research in low-middle income countries and the professional recognition and career development for applied statisticians working in fields related to health and social care.

Mona has extensive experience in designing and conducting studies in public health and social sciences. Mona uses innovative designs such as the stepped-wedge clustered randomised controlled trials.  She has worked on tobacco control and maternity related studies in low-middle income countries, including Bangladesh, India, Lebanon, Pakistan, South Africa, and Syria.

Rhys is an internationally recognised educational leader with extensive experience in curriculum development and curriculum theory, statistics education, and engaging students in small and large classroom settings (offline and online). He also has extensive experience of using digital literacy skills and learning analytics to enhance the student experience, using digital platforms to assess student engagement and interaction. Rhys was the National Representative for the New Zealand Association for Gifted Children from 2020-2022, and the Director of the Science Scholars at the University of Auckland from 2018-2021. Rhys is also a member of the Royal Statistical Societies teaching section as well as the Education Policy Advisory Group. Both committees work on a national and international level to improve the teaching of statistics and data science in schools, universities, and relevant industry sectors.

I am a lecturer in Medical Statistics at the Department of Health Sciences in York (UK), with over 10 years of experience in research and teaching. 

I predominantly teach introductory and advanced statistics to postgraduate students on our Masters and PhD programmes but also medical students taking bespoke modules. In my research, I am involved in the design, statistical support and analysis of randomised trials as part of York Trials Unit, especially in the areas of mental health and orthopaedics, both in the UK and Southeast Asia.

I really enjoy supporting students discovering statistics for themselves and overcome perceived barriers. As such, Burwalls is a fantastic forum to share and promote best practice and innovative approaches, and I am proud to be involved in facilitating the group’s activities. 

I am Lecturer of Medical Statistics and Epidemiology of the University of Leicester. I teach introductory statistics and epidemiology to medical students and postgraduate research students. Previously I have also taught business statistics and econometrics in Australia. I also serve as a dissertation supervisor for undergraduate and postgraduate students at University of Leicester and University of Cambridge.

I am an Ussher Assistant Professor in Biostatistical Genomics within the Discipline of Psychiatry in the School of Medicine, Trinity College Dublin. My research focuses on psychiatric genomics, and I also contribute extensively to teaching statistics across several MSc programmes, including Molecular Medicine, Translational Oncology, Genomic Medicine, and Cancer Survivorship.

Given the diverse statistical backgrounds of my students, I am committed to exploring innovative teaching methods to enhance engagement and support learning. Recently, I began developing a gamification e-learning tool aimed at improving statistical education.

With a strong foundation in mathematics and statistics, I have many years of experience in advising on study design and statistical analysis for a wide range of health-related research projects. I am also leading the development of online sample size calculation resources to provide accessible statistical support for students and researchers.

I am a UK-based educator specializing in helping students design, analyse and interpret research. My education is in Cognitive Psychology and for the last 10 years I taught research design and analysis to postgraduate students in a UK dental school. In 2024, I founded Bezalel Education with my wife, where I focus mainly on supporting postgraduate students, designing research curricula, and providing training in research methods, research integrity and statistics that introduces beginners to research practice.

Hilary Watt is teaching fellow at Imperial College London. She is published author of innovative interpretations and graphs that promote conceptual understanding of confidence intervals and of p-values. She leads collaborative research with data from around 60 medical statistics educators. She aligned her teaching methods with the agenda to overcome common poor standards of interpretation in the statistical literature. She creates R resources aligned with the workflow, with named feedback that they save time when preparing data for analysis. She is also trial statistician co-applicant for NIHR studies and is an active supervisor and statistical collaborator.

Philip Sedgwick is Professor in Medical Statistics & Medical Education at St. George’s, University of London. His PhD, received from the University of London, was in the applied research area of sleep and its disorders. He has over 35 years of experience in research and teaching. During that time, he has written and co-authored nearly 150 peer-refereed journal publications and book chapters in the biomedical, healthcare and clinical sciences, plus medical education. His research interests include early phase clinical trials.

In 2009 Philip was commissioned to write weekly for the leading international general medical journal BMJ. This he did in an educational capacity on topics in medical statistics, epidemiology, research methods, research ethics and clinical communication skills. He produced over 300 articles that appeared in a series called “Endgames”.

Ram Bajpai is lecturer in Biostatistics at the School of Medicine, Keele University. He received his doctoral degree in Medical Statistics from ICMR National Institute of Medical Statistics, Guru Gobind Singh Indraprastha University, New Delhi, India. He has over ten years of experience in teaching and research. He also published over 100 peer-reviewed journal publications. He is listed as top 1% reviewers in 2019 of Cross-field science domain by Publons, Web of Science. He continues to work in the field of cross-domain applications of the statistical and epidemiological methodologies with a particular interest in quantitative epidemiology, prognostic research, and meta-analysis.

I earned my PhD in Bayesian Statistics from Queen Mary University of London in 2011. Following that, I served as a postdoctoral research associate at Imperial College London for a couple of years. Subsequently, I held positions at various national and international institutions before joining UCL's Queen Square Institute of Neurology in 2017. Currently, I hold the position of Associate Professor in Medical Statistics there. My primary research focuses on statistical methods in neuroscience, while I also investigate methods for teaching medical statistics to non-statisticians.

I am a Professor of Applied Statistics based in the Dental School at the University of Bristol.  Although I have worked in a number of research areas, my current interest is oral health including cleft lip/palate.  I lead the evidence-based practice/research methods (including statistics) teaching for undergraduate and postgraduate students at Bristol Dental School.  In 2022 I set up a Dental Statistics Teachers' Group, with the aim of improving statistics-related teaching for undergraduate students in the UK and Ireland.  As well as being a member of the Steering Committee of the National Institute for Health and Care Research (NIHR) Statistics Group,  I established the Career Development Section in 2017.      

I am a biostatistician and an academic staff of the Epidemiology Department, Faculty of Public Health, Institute of Health, Jimma University in Ethiopia. I have been teaching biostatistics postgraduate public health, medical, biomedical, nurses, midwiferies, pharmacists, orthopedics, dentistry, anesthesiology, etc. in my institute. I also supervised postgraduate public health professionals in my department. I have published more than 20 articles in reputable peer-reviewed journals and all are medical and public health data.  Teaching statistics on biomedical data and in health-related areas is a blessing since it is an ideal place to apply various statistical methods.