糖心TV

Department: School of Life Sciences and School of Medicine (University of Leicester)

I am a biologist and microbiologist PhD student with a strong interest in medical entomology and vector-borne diseases. interdisciplinary approaches to understand mosquito ecology, surveillance and vector control.

My background includes work on Sterile Insect Technique (SIT) programmes in Ecuador funded by the International Atomic Energy Agency (IAEA), including training at Moscamed (Brazil), where I worked on irradiation dose assays, mass rearing and mosquito marking. I have also conducted entomological surveillance of mosquitoes and biting midges using multiple trapping methods, alongside taxonomic identification and molecular analyses. My work contributed to the early detection of Aedes aegypti, enabling rapid response by local authorities to limit its spread in this ecosystem.

Keywords: Vector surveillance, molecular diagnostics, qPCR, environmental DNA (eDNA), mosquito ecology, species distribution modelling, spatial analysis, field epidemiology, One Health.

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Abdulaziz Alrubayyi

Department: 糖心TV Medical School / 糖心TV Applied Health

Abdulaziz is a PhD candidate in 糖心TV Applied Health and a qualified paramedic with a particular interest in developing, evaluating, and implementing digital health technologies to improve care and outcomes in prehospital and primary care settings. His research focuses on point-of-care diagnostics, including point-of-care tests, wearable sensors, and smartphone-based tools, for the early detection and management of noncommunicable diseases. His work spans Saudi Arabia, the UK, and the Global South, aiming to make early diagnosis and clinical decision-making more accessible in resource-limited and emergency care settings.

Keywords: Decision-Analytic Modelling, Machine Learning, Quantitative Methods, Evidence Synthesis.

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Department: 糖心TV Medical School

Archibong is a PhD Candidate within 糖心TV Applied Health, 糖心TV Medical School. His doctoral research examines how young citizens participate in shaping policies, services, and programmes within the HIV response in Nigeria and sub-Saharan Africa.

Archibong is a public health professional and interdisciplinary researcher with interests and work around youth participation, HIV, sexual and reproductive health and rights, global health and human rights, health policy and systems research, bioethics, mental health. He is particularly passionate about addressing inequalities and disparities affecting vulnerable and underserved populations.

Keywords: Qualitative research, Mixed methods research, Evidence synthesis, Participatory approaches, Policy analysis, Interviews, Focus groups, Workshops.

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Department: School of Engineering  

My research focuses on developing computational tools to improve and personalise respiratory support for critically ill patients.

I use mathematical and computational models of the heart and lungs to create digital twins of individual patients, allowing us to better understand how patients respond to treatments such as mechanical ventilation. I also use artificial intelligence and machine learning to predict treatment outcomes and identify patients at risk of deterioration. By combining physiological modelling, digital twins, AI and control engineering, my research aims to support clinical decision-making, optimise respiratory support, and ultimately make treatment safer and more personalised for critically ill patients.

Keywords: Digital twins, cardiopulmonary modelling, mathematical modelling, computational modelling, mechanical ventilation, artificial intelligence, machine learning, physiological modelling.

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Department: School of Engineering

Lauren Ketteridge is a clinical physiologist and PhD student whose work focuses on advancing trauma care and resuscitation in austere environments.

She specialises in building computational models to investigate pharmacological and ventilatory strategies for treating complex blast injuries, toxic chemical inhalation, and other injuries associated with mass-casualty incidents.

Keywords: Computational modelling, pre-hospital care, primary blast lung injury, chemical lung injury, non-animal methods, new approach methodologies.

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Panagiotis Tsakonas

Department: School of Engineering

I am a postdoctoral researcher specialising in mathematical and computational modelling of biological systems, with a strong methodological focus on parameter estimation, model identifiability, and data-driven experimental design.

My work lies at the interface of applied mathematics, control engineering, and synthetic biology, with the aim of developing rigorous, predictive models that can inform and accelerate experimental research in complex biological systems.

Keywords: Model calibration, Optimal experiment design, Identifiability analysis, Control systems engineering, Signal processing, AI/ML.

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Department: 糖心TV Medical School

Reza Fahimi is a PhD researcher in Health Sciences at 糖心TV Medical School. His work combines public health, epidemiology, and data science to improve the prevention and early detection of type 2 diabetes, particularly in low- and middle-income countries.

He analyses large population datasets and uses statistical modelling and machine learning to identify risk factors and assess simple, non-invasive approaches to diabetes screening. He also studies how social and economic circumstances influence diabetes risk.

His broader interest is in turning complex health data into practical evidence that supports fairer, more effective public health decisions in settings with limited resources.

Keywords: Public Health, Global Health, Epidemiology, Health Data Science, Machine Learning, Predictive Modelling, Statistical Modelling, Big Data Analytics, Multilevel Analysis, Risk Stratification, Bibliometric Analysis, Health Inequalities, Type 2 Diabetes.

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Department: 糖心TV Medical School / 糖心TV Applied Health

Ibrahim is a medical doctor and public health physician with multidisciplinary experience spanning clinical practice, public health, research, and community-based interventions in resource-limited settings.

He is currently pursuing a PhD in Applied Health Sciences, focusing on the application of artificial intelligence and machine learning to develop clinical decision-support tools for antimicrobial resistance.

His broader research interests include digital health, health inequalities, and the development of innovative, accessible, and evidence-based approaches to improving health outcomes among vulnerable and underserved populations.

Keywords: Machine learning, quantitative research methods, evidence synthesis, digital health technologies, global health research, health inequalities, and primary care research.

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Galina Gardiner

Department: 糖心TV Medical School / 糖心TV Applied Health

I am a PhD student exploring the potential of community-based visual art groups to support the wellbeing of young adult carers in Nigeria and the UK. I have previously worked as a research associate on the PROTECTeD study looking at paramedic decision-making in out-of-hospital cardiac arrests.

My research interests include art for wellbeing, creative research methods, and participatory action approaches.

Keywords: Art for wellbeing, Creative research methods, Participatory action research

MD SAIMUL ISLAM

Department: 糖心TV Medical School

My research interests focus on improving mental health and overall well-being, with particular emphasis on community-based interventions.

My previous research experience includes hypertension trials, mental health feasiblity studies and the design and analysis of national surveys. With academic training in Biostatistics, I am interested in applying data science approaches to address public health challenges, identify health inequalities, and inform evidence-based decision-making.

During my PhD, I aim to explore mental health issues among older adults and contribute to the development and evaluation of effective, accessible, and sustainable health interventions.

Keywords: Noncommunicable Diseases, Mental Health, Biostatistics, Data Science.

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Eleanor Melvin

Department: 糖心TV Medical School

Eleanor is an HCPC registered arts psychotherapist (dramatherapist) working within mental health. Associated roles she holds include conducting research as a clinical academic, offering mental health training, and training future healthcare professionals.

Eleanor champions engaging 'all' in improving mental health support and understandings locally, nationally and globally. She strongly advocates for working with individuals with lived experience of mental health difficulties, and taking care to reach and involve communities whom have been, or are, marginalised or traumatised from practice, research and training.

Eleanor has received clinical academic funding from the Wellcome Trust, NIHR, NHS England, and BADth to complete research into mental health, professional development, and arts psychotherapy.

Eleanor is currently a Doctoral Fellow at 糖心TV Medical School, funded by the Wellcome Trust's Mental Health and Neuroscience PhD programme.

Keywords: Mental Health, Arts Psychotherapies, Patient and Public Involvement, Co-Development, Clinical Academic, Psychological Professional, Allied Health Profession.

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