meet the SIG Leads

Alyssa is an Associate Professor in Psychology at Toronto Metropolitan University (formerly Ryerson). She is the director of the Psychology and Statistics Education Research (PASER) lab, where her research group examines topics such as statistics attitudes, statistics anxiety, and methods for improving statistics education in psychology. She is especially interested in understanding how students learn and engage with statistical software. Alyssa has taught introductory and advanced undergraduate statistics, but most of her teaching is at the MA/PhD level with courses such as regression, multilevel modeling, structural equation modeling, or multivariate methods. She is the Chair of the Canadian Psychological Association's Teaching of Psychology section and a former Associate Editor for the Statistics Education Research Journal. In her spare time, Alyssa loves reading sci-fi novels and watching women's basketball.

Gabriele is a Lecturer in the Department of Neuroimaging at the Institute of Psychiatry, Psychology & Neuroscience, King’s College London, and a cognitive experimental psychologist by training. His research focuses on visual cognition and social perception, particularly how people represent others’ viewpoints and how the presence of other agents interferes with one’s own perspective. Through many years of teaching research methods and statistics, he has developed a strong interest in how students learn and engage with statistical concepts and software. He teaches currently teaches undergraduate programmes, with a focus on research methods, statistics, and cognitive neuroscience, and is a Fellow of the Higher Education Academy and a Chartered Psychologist. In his spare time, Gabriele enjoys travelling, playing basketball and is an avid board-game enthusiast, with a particular interest in board-game design and visual accessibility.

 Mohammed is an applied statistician and AI/ML scientist, currently serving as an Assistant Professor at West Virginia University. He holds a PhD in Statistics from the University of New Mexico and is an Accredited Professional Statistician with the ASA. His research spans statistics, AI/ML, and large-scale healthcare analytics. He collaborates widely with academic and clinical teams, providing statistical expertise to multidisciplinary projects. He also teaches graduate-level statistics and delivers workshops on applied analytics and AI methods. He is passionate about bridging rigorous statistical methodology with practical, real-world healthcare challenges.

Letetia holds a Ph.D. in Mathematics and an M.Phil. in Statistics from the University of the West Indies, St. Augustine Campus (UWI-STA). Currently, she is a Project Officer, providing Statistical Consulting on institutional data and has over a decade of experience lecturing Mathematics, Probability, and Statistics at the tertiary level. She previously coordinated the Mathematics Help Centre, assisting students with difficulties in quantitative courses and regularly engages in research and outreach. 

Letetia is a part of a Social Statistics Research Cluster at the Department of Behavioral Sciences, exploring research on Statistics Anxiety in students. She also lectures various courses including a Graduate Course in Advanced Statistics in Psychology and conducts workshops on statistical software using IBM SPSS and R. Her research interests encompass data-driven models for Higher Education, multidisciplinary applications of mathematical and statistical models for sustainability, and Statistics Education pedagogy. 

Letetia is also affiliated with the Royal Statistical Society (RSS) and the American Statistical Association (ASA). As the first Women in Data Science (WiDS) Trinidad and Tobago Ambassador, she is closely involved in WiDS Worldwide through Stanford University, which highlights exceptional women in Data Science. Letetia is passionate about teaching, mentoring, and outreach and is dedicated to emphasising the importance of Mathematics and Statistics across various fields.

Click here to view Letetia's LinkedIn profile.

Fareena is currently an Instructor in Sociology at the University of the West Indies, St. Augustine Campus. She teaches courses in introductory statistics, quantitative and qualitative research methods and health sociology. Fareena is also a PhD candidate in Sociology; her research focuses on food consumption patterns among adults in Trinidad and Tobago during the COVID-19 pandemic. Her interests include statistics education, health and illness, and nutritional sociology. 

Chelsi Slotten holds a Ph.D. in Anthropology from American University. Currently, she is a Product Manager for Sage Data, an educational platform that helps students and researchers find, explore, visualize, and share detailed data from trusted sources. She is interested in how to help students overcome statistical anxiety to engage more fully in data based research and decision making.  She is keen to understand what role AI can play in developing student confidence with data while understanding it's limitations.

I am a Lecturer in Statistics at the School of Mathematics, at the University of Edinburgh, and a part-time remote lecturer at Istinye University. In November 2023, I got the fellowship accreditation of Higher Education Academics in UK (FHEA). Previously, I held two postdoc positions at Padova University (2021) and KU Leuven (2020), after completing my PhD at Middle East Technical University in 2018.

Outside of university teaching, I was a co-organiser of Technology Enhanced Mathematical Sciences Education (TEMSE) seminars in School of Math for 2023-2025, nowadays having the roles of Academic Cohort Lead (ACL), Generative AI TEMSE co-lead, EdinbR community and RSS Edinburgh local group member. In addition to my official teaching and research duties, I am ambitious about improving my statistical learning skills by leading/organizing/being a part of training workshops. I’m looking to collaborate on copulas and its applications, statistical methods for insurance and environment. Recently, I am interested in Gen-AI tools and their impacts on teaching and learning. 

Paul Hewson is a Senior Lecturer in Mathematics and Statistics at the University of Exeter. He has a spent time working in local government, industry as well as academia.  This has left him interested in critical statistical reasoning and causality.  More recently, he has developed a keen interest in accessibility.

Helen is a Lecturer in Statistics in the School of Mathematical Sciences at Lancaster University. Her time is mainly split between researching novel statistical methodology for clinical trials, teaching statistics courses, and supervising statistics students with research projects. She has over a decade of experience teaching mathematics and statistics at a variety of levels to students from an array of disciplines, notably including as a Learning Developer for Mathematics and Statistics in the Management School. Her interests lie in statistics pedagogy for large cohorts, with a focus on facilitating inclusive and personalised learning.

Sarah Rhodes is a Senior Lecturer in Biostatistics at the University of Manchester. She teaches on a number of courses relating to Evidence Based Medicine and Biostatistics. As a former school Mathematics teacher, she is passionate about providing learning experiences that are active, accessible and challenging. Good research design, statistical literacy and critical appraisal are at the heart of her teaching.

Sarah is an active applied statistician with research interests in randomised controlled trials and systematic reviews.

Ioanna is a teaching-focused lecturer in Statistics in the Department of Mathematics at Imperial College London. Her research interests include statistics education, with a particular focus on active learning, assessment and feedback practices and curriculum mapping. Ioanna has taught statistics modules to a wide range of audiences.

Matina is Associate Professor (Teaching) in the Department of Statistical Science at University College London (UCL). She teaches at undergraduate and postgraduate levels, focusing on assessment for learning and active learning, with a strong emphasis on developing statistical and mathematical thinking for both specialist and non-specialist students.

Through inclusive practice, evidence-informed learning design and iterative improvement, she aims to enable students to reason confidently with data and to work with colleagues and communities to promote engaging, high-quality statistics education in schools, colleges and universities. In addition, Matina serves on the editorial board of MSOR Connections and is a member of the board of the Teaching Statistics Trust.

Kirsty is a Senior Teaching Fellow in the Faculty of Medicine at Imperial College London. She is Module Lead for Statistics on the BSc in Medical Biosciences (BMB), where she teaches fundamental statistical concepts alongside R coding using a flipped classroom approach. She also oversees the Academic Tutoring programme for BMB, supporting students and tutors throughout the three-year course. In January 2025, she became Deputy Director of Quality for BMB.

Her educational research interests focus on active learning and its impact on diverse student populations. In 2021, she completed a Masters in University Learning and Teaching, with a study on LGBTQIA+ student experiences in active learning classrooms. Prior to her teaching role, Kirsty was a postdoctoral researcher in the Epigenetics Unit in the Division of Cancer at Imperial, after completing her PhD on Epstein-Barr Virus epigenetics in the School of Life Sciences at Sussex University.

Paddy is a Senior Lecturer (Education) in the School of Psychology at Queen’s University Belfast. He is of mixed Zambian and Irish descent, and the first in his family to go university, which he completed as a mature student. His PhD research focused on the role of numerical and non-numerical ordering skills in early mathematical development. His is interested in statistics education research and Scholarship.

Margaret holds a PhD in mathematics, together with the  professional teaching qualifications PGCE (Mathematics), SEDA Certificate in HE Teaching and PGCert(University Teaching). She is a senior lecturer in medical statistics and researcher in education at Edinburgh Medical School. She has conceived and led 11 funded projects in medical education and statistics and supervised research staff and students through various spin-off projects. Margaret has published on an international scale in the fields of education, medicine, philosophy and statistical methodology. She has served as an invited speaker, chair and conference organiser at various local, national and international events relating to statistics, and learning and teaching in higher education. Currently, she serves as Vice Chair of the Teaching Statistics section of the RSS. Margaret is particularly passionate about communicating statistical rigour and soundness to trainee health professionals and uses clinically contextualised examples to highlight the potential impact of statistical misconceptions on clinical decision-making.