Research
Shukla Lab aims in developing:
- Machine Learning (ML) / Artificial Intelligence (AI) based computational methods for in silico biomarker discovery and patients’ stratification in infectious diseases, inflammatory diseases, cancer, and multimorbidity, via exploiting high-throughput omics, clinical and healthcare data. For more details regarding software and tools developed from our lab please see our Github repository.
- Positive Pedagogy based learning & teaching (L&T) methods for cross-disciplinary and inter-disciplinary subjects taught in a multi-disciplinary course environment in higher education (HE) sector. For more details regarding this theme of research, please see here and here.
Funding
Shukla Lab is / has been supported by: The Academy of Medical Sciences UK, UK Research & Innovation (UKRI), Innovate UK, National Institute for Health and Care Research (NIHR) UK, Department for the Economy (DfE) Government of Northern Ireland, Invest NI, Health and Social Care Research & Development (HSC R&D), Novo Nordisk, Wellcome Trust, British Science Association (BSA), British Association for International & Comparative Education (BAICE) and Advance HE.
Publications
For full list of publications, please see here.
Software
For full list and details of software and tools developed from our lab, please see our Github repository.
Current Lab Members
Principal Investigator: Dr Priyank Shukla
Priyank is a Senior Lecturer (~ Associate Professor) and Course Director of BSc Hons in Personalised Medicine program at the Personalised Medicine Centre, School of Medicine, Ulster University. For more details about him, please see here.
Postdoctoral Researchers
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Dr Ruairidh Harrigan (2024 - cont.)
- Project title: VACCINE - Viral Antigenic Component for COVID-19 Immunization and Neutralization Efforts
PhD Researchers
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Gavin Markey (2022 - cont.)
- Thesis title: Cognitive analytics for early diagnosis of protective immunity and severity of SARS-CoV-2 infection
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Kathryn Christie (2020 - cont.)
- Thesis title: Mental health diagnosis using cognitive analytics
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Roanne Lecky (2021 - cont.) Co-supervisor
- Thesis title: The diabetic lung: impact of diabetes and obesity on lung health (IDOL study)
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Tony Robinson (2019 - cont.) Co-supervisor
- Thesis title: FPGA computational acceleration in genomics – bringing personalised medicine closer to clinical practice for healthy communities
MSc Students
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Sandeli Singh Chauhan (2023 - cont.)
- Dissertation title: Computational prediction of epitopes for peptide-based vaccine designing against human bocaviruses
BSc Students
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James Bull (2023 - 2024)
- Dissertation title: Computational prediction of epitopes for peptide-based vaccine designing against arenaviridae virus family
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Katie Stevens (2023 - 2024)
- Dissertation title: Computational prediction of epitopes for peptide-based vaccine designing against human bocavirus-1
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Jack Brown (2023 - 2024)
- Dissertation title: Computational prediction of epitopes for peptide-based vaccine designing against human bocavirus-2
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Megan Jess (2023 - 2024)
- Dissertation title: Computational prediction of epitopes for peptide-based vaccine designing against human bocavirus-3
Lab Alumni
For full list of lab alumni, please see here