Memta Jagtiani

Memta Jagtiani is an Associate Lecturer (Teaching) in Quantitative Research Methods at University College London (UCL), affiliated with the Department of Political Science and the Department of Epidemiology and Public Health. Her academic work focuses on social media's impact on mental health, integrating data science methodologies with longitudinal studies.

• Educated with a First Class Honours BSc in Population Health at UCL
• Recipient of UCL Faculty Medal and Best Dissertation Award

Her research examines the interplay between social media use, gender, family dynamics, and mental well-being, utilizing advanced statistical techniques like causal inference and hierarchical linear modeling. She has presented her findings at prestigious conferences such as the Society for Longitudinal and Lifecourse Studies and the British Society for Population Studies.

In teaching, she specializes in R and STATA for quantitative data analysis, offering modules across undergraduate and postgraduate programs. Her work extends to private tuition, mentoring students in coding and data management.

• Scientific Awards:
  • Faculty Medal Winner
  • Best Dissertation Award Winner

Jagtiani's publications focus on social media's role in mental well-being, family meal frequency, and longitudinal data harmonization. She also contributes to public health discourse through blogs and peer-reviewed journals.