The Centre's Early Career Fellowship Programme is an initiative funded by MRC designed to attract to the Centre exceptional candidates seeking to establish their own programme of research. The programme provides a unique opportunity for early-career scientists to develop the skills needed to meet future research challenges in the environment and health arena, thus seeding and strengthening the discipline both nationally and internationally.

Meet our Early Career Research Fellows


Dimitris Evangelopoulos

Dimitris’ research focuses on Biostatistics and Environmental Epidemiology, and more specifically on the impact of exposure measurement error on health effect estimation. His fellowship, entitled “Multi-Dimensional assessment of the Impact of Measurement Error on the health effect estimates of long-term exposure to air pollution (M-DIME)”, aims to quantify the true associations between multiple exposures and health, considering the complex relationship between pollutants, using simulations and real data.

The project will provide guidance to researchers on the optimal methods to measure air pollution, identify the most harmful pollutants and perform a health impact assessment to quantify the deaths attributed to air pollution and how this affects cost-benefit analysis.

He joined the Environmental Research Group in 2015 and is a member of the Air Pollution Epidemiology team. His research interests lie in Biostatistics, Environmental Epidemiology, Measurement Error Theory, Simulations and Health Impact Assessment and he is the project manager of the MELONS study. He is a co-opted member of the Quantification of Air Pollution Risk (QUARK) sub-group of the Committee on the Medical Effects of Air Pollutants (COMEAP) which provides advice to Government Departments and Agencies on how air pollution affects health. He has also acted as an external advisor of the World Health Organization and is an Office for National Statistics (ONS) Full Accredited Researcher. Dimitris completed his PhD in Environmental Sciences at King’s College London, following a Diploma in Applied Mathematics and Physical Sciences from the National Technical University of Athens and an MSc in Biostatistics from the National and Kapodistrian University of Athens.

Garyfallos Konstantinoudis

Garyfallos Konstantinoudis is an MRC Skills Development Research Fellow at the Department of Epidemiology and Biostatistics, part of the MRC Centre for Environment and Health at Imperial College London. My group is the Environmental and Health Statistics group headed by Prof Marta Blangiardo. His current domain of research is on Bayesian spatiotemporal models using exact point data. He combines the aforementioned modelling framework with health economics to investigate the climate related respiratory disease burden in the England.

This project is a collaboration with Prof Gianluca Baio at UCL, Dr Cosetta Minelli at Imperial College, Dr Antonio Gasparrini at LSHTP, Dr Ana Vicedo-Cabrera at ISPM University of Bern, Prof Dominic Schuhmacher at University of Gottingen, Dr Samir Bhatt at Imperial College and Dr Joan Ballester at ISGlobal.

Before that, he did his PhD in Biostatistics and Epidemiology at the Institute of Social and Preventive Medicine (ISPM) at the University of Bern in Switzerland in the Environmental and Spatial Epidemiology group headed by Dr Ben Spycher. Also, he obtained an MSc in Biostatistics at the University of Glasgow and BSc in Mathematics at the Aristotle University of Thessaloniki.

She joined the National Heart and Lung Institute in 2019 and extended her research on the association between environmental exposures and allergies with the support of the centre’s fellowship. She quantified the seasonality of food anaphylaxis and investigated its association with pollen count and temperature. To explore the mechanisms of the associations observed, she will evaluate the seasonality of allergic responses and identify their potential associated factors. This work will help to formulate guidelines to reduce the risks of triggering food anaphylaxis, a life-threatening allergic condition, in the face of the increasing prevalence and climate change.

Ricky Nathvani

Ricky is a researcher working at the intersection of computer vision and environmental health, using images and algorithms to study features of the environment that are determinants of health. His fellowship involves applying computer vision techniques to satellite imagery to analyse rooftop materials in the city of Accra, Ghana, and their impact on the Urban Heat Island effect (UHIE). The built environment and the UHIE poses a significant risk of heat related stress to the world’s informal settlement populations as the effects of climate change take hold. Previously, he worked at Imperial College as a post-doc, using time-lapsed street-view images from Accra for monitoring environmental changes on short-time scales using object detection.

Subsequently, he worked on predicting air and noise pollution levels from these sources of imagery and the objects within them. Ricky’s background was in Theoretical Particle Physics, for which he obtained his doctorate from University College London, following a Masters in Physics at the University of Oxford.

He is also a freelance popular science writer on a variety of topics, whose work can be found here:

Niloofar Shoari

Niloofar’s research is at the intersection of environmental sciences and public health, with a particular focus on the application of Bayesian methods in this area. Her current project aims to understand what makes a neighbourhood healthy, and how growing up in different neighbourhoods contributes to the improvement of health and educational outcomes in school-age children. She completed her PhD in Environmental Engineering at École de Technologie Supérieure (University of Quebec, Canada), where she worked on quantitative analysis of soil contamination data and developed guidelines for engineers and policy-makers as to how to deal with the below detection limit concentrations. She was a visiting research scholar in the Department of Statistics at the University of Waterloo and Texas A&M University. She completed her MSc and BSc in Environmental Engineering at La Sapienza University of Rome (Italy).

Hanbin Zhang

Hanbin’s research lies in the intersection between exposure science, environmental health and public policy. His fellowship project utilises an unique collaborative opportunity where two interventions (one on salt reduction and one on energy transition) took place simultaneously in northern rural China to observe the combined and individual health effects. Previously he worked as postdocs at King’s College London and Imperial College London on projects AIRLESS and MELONS where he led methodological developments in separating pollution into indoor and outdoor sources, and microenvironment tagging for personal monitoring data.

Apart from research, he acts as the education co-lead at Environmental Research Group for various teaching activities, including co-leading one undergraduate I-Explore STEMM module ‘Creating Evidence-Based Solutions to Environmental Pollution and Health’. He believes in ludic pedagogy to create an environment for students to learn from fun intrinsically – a recent example is to gamify environmental monitoring into a 8-bit sandbox game.

Harry Triantafyllidis


Charalampos P. Triantafyllidis is a Computer Scientist, and his current research focuses on how data science techniques can be utilised for better patient stratification and inference of new therapeutics with applications to asthma and Sickle Cell Disease (SCD). Between 2019 – 2021 he was a postdoctoral research associate (PDRA) with the Department of Oncology, University of Oxford, analysing the pan cancer functional effect of TP53 mutations by using machine learning, network analysis and optimisation algorithms. Prior to that, he was a PDRA in the departments of Chemical Engineering at University College London and Imperial College London. He completed his PhD in Applied Computer Science at University of Macedonia, Thessaloniki-Greece in 2014.