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Memta Jagtiani is an Associate Lecturer in Quantitative Research Methods in the Department of Political Science at University College London and a Research Fellow specializing in Intellectual Disabilities in the Division of Psychiatry. Memta teaches Data Science courses at the Digital Skills Lab at the London School of Economics and Political Science. Originally from Singapore, she is currently pursuing a PhD in Mental Health at UCL, employing data science methodologies, which she completed in 2023. She holds a Bachelor of Science in Population Health with Class Honours from UCL, where she was awarded the Faculty Medal and the Dissertation Award. With over eight years of experience in statistical data analysis, data mining, and statistical modeling using programming languages such as R and STATA, Memta is skilled in teaching data analysis at both undergraduate and postgraduate levels. She is a Fellow of the UK Higher Education Academy, and she achieved this position in 2024. Apart from her academic pursuits, Memta is a certified Digital Wellness Educator from the Digital Wellness Institute in the USA, enjoys Latin dancing, and has volunteered globally, teaching English to young students in rural Thailand.
University College London, Division of Psychiatry • London, United Kingdom
Conducting research in the field of intellectual disabilities.
London School of Economics and Political Science, Digital Skills Lab • London, United Kingdom
Training students in data science methodologies.
University College London, Department of Political Science • London, United Kingdom
Teaching Quantitative Research Methods to undergraduate students.