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.
Innovation
Shukla Lab focuses on medical and healthcare innovation by combining medical informatics and artificial intelligence (MIAI). For more details regarding innovation work, please see 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 Council, 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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Nomathamsanqa Tholo (2025 - cont.) Lead supervisor
- Thesis title: Development of an immunoinformatics and artificial intelligence based computational platform for vaccine discovery and design
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Gavin Markey (2022 - cont.) Lead supervisor
- 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.) Lead supervisor
- Thesis title: Mental health diagnosis using cognitive analytics
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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
BSc Students
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Anna Friel (2024 - 2025)
- Dissertation title: Computational design of epitopes of peptide-based vaccine candidates for protoparvoviruses
Lab Alumni
For full list of lab alumni, please see here