series event

​​DASH Early Career Showcase​

The DASH centre is hosting an early career researcher event to showcase work from across the LSHTM community.

Turquoise background with LSHTM and DASH centre logo

The recently launched Data And Statistical science for Health (DASH) centre will be hosting a hybrid early career researcher (ECR) showcase in-person and online on the afternoon of 7 November, followed by an in-person informal social event.  
This half-day event will highlight researchers and their work in data and statistical science from across the LSHTM community, with a series of short talks (10-15 minutes) alongside a panel discussion by DASH leads.  

​For this event, an ECR refers to an individual in the early stages of their research career and we encourage people to self-define whether they identify as an ECR.


Morgan Lemin, LSHTM

Morgan is an MRC LID PhD candidate at the London School of Hygiene and Tropical Medicine. She has a masters in environmental public health from the University of Queensland and has a background in spatial epidemiology, particularly related to neglected tropical diseases. Her PhD is looking at machine learning applications and novel data collection techniques for female genital schistosomiasis (FGS).

Claire Nimusiima, LSHTM

Claire is a research data manager for the Disability Research Group at the MRC/UVRI & LSHTM Uganda Research Unit. She holds a bachelor's degree in Computer Engineering from Mbarara University of Science and Technology and is currently pursuing an MSc in Epidemiology (Distance) from London School of Hygiene and Tropical Medicine – University of London.

Ruth Costello, LSHTM

Ruth has been working as a research fellow in the electronic health records group since early 2022. Ruth currently works on projects related to COVID-19 using electronic health record data through the OpenSAFELY platform. Before working at LSHTM Ruth worked at the University of Manchester as a research assistant, where Ruth completed a PhD by publication entitled “The use of digital data to investigate the management of rheumatoid arthritis”.

Elliot McClenaghan, LSHTM 

Elliot is a current doctoral researcher in pharmacoepidemiology where my work focuses on target trial emulation and causal inference methods applied to questions around treatment switching and deprescribing in cystic fibrosis. Previously Elliot worked as a research fellow at LSHTM and before that was a medical statistician at the UK Cystic Fibrosis Registry.

Alexandra Kalbus, LSHTM 

Alexandra is a Research Fellow in PHP using quantitative methods. Alexandra’s research focusses on understanding environmental influences on population diet, including neighbourhoods and policies. Alexandra currently works on an evaluation of the mandatory calorie labelling for large out-of-home food businesses in England.

Arturo de la Cruz Libardi, LSHTM 

After a biomedical degree, Arturo took part in the first MSc Health Data Science cohort and currently works in the Environment and Health Modelling Lab.

Leah Pirondini, LSHTM 

After completing the Medical Statistics MSc at LSHTM in 2020 and working within the Medical Statistics department for 18 months, I started a PhD at LSHTM in April 2022 supervised by Professor Ruth Keogh. My PhD looks at causal inference methods for estimating the effects of longitudinal treatments using routinely-collected data, with a particular focus on the issue of informative patient monitoring.

Brezesky Kotanmi, LSHTM 

Brezesky Kotanmi, From the Republic of Benin is currently a Research Fellow in Statistics at the Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine (LSHTM) after completing an MSc degree in Medical Statistics at the LSHTM in 2022. Brezesky’s research interests are in causal Machine Learning and personalized medicine.

Max Eyre, LSHTM 

Max is a Research Fellow in the Environmental Health Group with a PhD in epidemiology and statistics. His research primarily focusses on using geostatistical models and community-based eco-epidemiological studies to study transmission mechanisms of neglected tropical diseases, with a focus on climate-sensitive pathogens.

Caroline Relton, LSHTM 

Caroline Relton

Ananya Malhotra, LSHTM

Ananya Malhortra

Paddy Kafeero, LSHTM

Paddy Kafeero is a Senior Data Manager with experience in the field of clinical research. Over the past three years, Paddy has successfully managed data coordination for three multi-center clinical trials, demonstrating proficiency in data quality, standardization, and collaboration across the study sites. Paddy's dedication to optimizing data management processes has contributed greatly to the success of these studies.

Qiuju Li, LSHTM

Qiuju Li is a research fellow in Medical Statistics in the Department of Health Services Research & Policy. Qiuju has a long-standing interest in the development of statistical methodology and data analysis for longitudinal and survival data. They mostly work with large datasets with data collected from observational studies and/or electronic health records.



13:30-13:45 Welcome and Introduction

Chair: Ruth Keogh

13:45-14:55 Session 1


  • AI, Interesting Hardware and Nasty Parasites
    • Speaker: Morgan Lemin
  • Navigating the Data Landscape: Effective Management of Social Science and Qualitative Data
    • Speaker: Claire Nimusiima
  • Ethnic differences in the indirect impacts of the COVID-19 pandemic on clinical monitoring and hospitalisations for non-COVID related conditions in England: An observational cohort study using OpenSAFELY
    • Speaker: Ruth Costello

Flash Talks

  • Within household SARS-CoV-2 transmission in English primary and secondary schoolchildren and staff: a self-controlled case-series analysis
    • Speaker: Elliot McClenaghan
  • Area deprivation and changes in the digital food environment during the COVID-19 pandemic: A longitudinal analysis of three online food delivery platforms
    • Speaker: Alexandra Kalbus

Panel comments

14:55-15:40 Coffee Break / Networking


15:40-17:00 Session 2


  • Challenges in spatiotemporal air pollution modelling with satellite data and ensemble machine-learning
    • Speaker: Arturo de la Cruz Libardi
  • Handling informative patient monitoring in routinely-collected data used to estimate treatment effects
    • Speaker: Leah Pirondini

Flash Talks

  • Estimating causal effects from unbalanced clustered data with binary outcomes
    • Speaker: Brezesky Kotanmi
  • Using eco-epidemiological geostatistics to delineate the role of rats, climate and environment as drivers of Leptospira spillover transmission
    • Speaker: Max Eyre

Panel Comments


Event notices

  • The event will be followed by an informal social event.
  • You can join this event in person or you can join the session remotely.
  • The recording link will be listed on this page when available.


Free and open to all.