Dr Ali Khurram is the Head (and founder) of the NEOPATH research group. He is a Senior Clinical Lecturer at the School of Clinical Dentistry, University of Sheffield, UK actively involved in undergraduate, postgraduate and clinical teaching and training. In his clinical role he works as a Consultant Pathologist with the Sheffield Teaching Hospitals NHS Foundation Trust & is the Clinical Lead for the Diagnostic Service. He is the Secretary for the British Society for Oral & Maxillofacial Pathology and Digital Advisor for The Pathological Society of GB & Ireland. He is also a Patron for The Swallows Head and Neck Cancer Charity and is working with investigators across the world on numerous clinically relevant research challenges to aid patient care. He is particularly interested in application of Digital Pathology and Artificial Intelligence for patient diagnosis and stratification, early detection of head and neck cancer and pre-cancers, salivary gland pathobiology and the role of tumour microenvironment in cancer progression.
Hanya graduated from the University of Birmingham in 2012. Following her Dental Foundation Training and multiple Dental Core Training posts in Oral & Maxillofacial Surgery/Medicine/ Pathology and Radiology she was appointed as an NIHR Academic Clinical Fellow/Specialist Registrar in Oral Surgery at Sheffield Teaching Hospitals in 2018. As a clinical-academic and budding Oral Surgeon, she has a keen interest in undergraduate/postgraduate teaching and translational research and is a Fellow of the HEA. As part of her ACF training, she has undertaken a Masters in Research and was awarded a grant from Sheffield Hospitals Charity to support her preliminary work. Recently, she has been awarded a prestigious NIHR Doctoral Research Fellowship to support a three-year PhD study in improving oral pre-cancer diagnosis using Artificial Intelligence. She has presented her work at numerous publications and presentations and won numerous accolades for the quality of her work.
Neda was awarded a scholarship for her PhD (2017-2021) at the University of Lincoln to develop automated models using deep learning, and medical image analysis to analyse cardiac echo images more precisely. Neda has an undergraduate degree in Health Information Technology, and a MSc in Big Data Analytics. She has a strong interest in application of Artificial Intelligence to medical applications. Before joining The University of Sheffield, Neda worked as an associate lecturer in the field of Computer Science at multiple UK higher education institutions. Neda's research interests are mainly centred on algorithm development, computer vision, big data, machine learning, deep learning, and medical image analysis. Neda’s is currently working on developing AI models for early oral cancer detection on the multidisciplinary collaborative CR UK funded ANTICIPATE study with Dr Ali Khurram and Professor Nasir Rajpoot (University of Warwick). She has published research articles in national and international journals and conferences, including a book. Neda is a reviewer for several peer-reviewed international journals.
Ibrahim is a second-year PhD student working under the supervision of DrAli Khurram and Dr Eu-Wing Toh (Medical School). He graduated from the College of Dentistry, King Saud University, Saudia Arabia in 2013 following which he worked as a staff dentist at the National Guard hospital, Riyadh. In 2016, Ibrahim joined the department of oral medicine and diagnostic sciences as a teaching assistant where he participated in teaching oral pathology to undergraduate students and was a part of the pathology diagnostic service in the department. In 2019, Ibrahim was awarded a MMedSci in Diagnostic Oral Pathology (Med Sci) from the University of Sheffield, UK. He has published articles and presented in many conferences including Saudi Dental Society (SDS), American Association of Dental Research (AADR), American Academy of Oral and Maxillofacial Pathology (AAOMP) and British Society of Oral and Maxillofacial Pathology (BSOMP). Currently, he is exploring the use of image analysis and machine learning for diagnosis and prognostic prediction of salivary glands tumours in collaboration with Professor Rajpoot (University of Warwick).
Paul is an an Academic Clinical Fellow (ACF) in Oral and Maxillofacial Pathology with a strong interest in research especially in the area of head and neck potentially malignant lesions. Paul undertook an intercalated BMedSci degree during his undergraduate degree, learning and using a range of cell culture, molecular biology and histology techniques. He presented his research at the British Society of Oral and Dental Research (BSODR) meeting in 2015 winning the Junior Colgate prize. As a foundation trainee, Paul obtained experience in motivational techniques to improve patient oral hygiene, patient recruitment, gaining consent and collecting data. Whilst working as a Dental Core Trainee in Maxillofacial surgery, he got involved in multiple publications and projects enhancing his understanding of how to approach, summarize and interpret the literature and publish findings. In his current role, Paul is involved in undergraduate and postgraduate teaching and is working towards a PGCert in Medical Education and PGCert in Medical Research. He is interested in molecular profiling and better understanding of pre-cancerous head and neck lesions to facilitate early detection and predict malignant transformation.
Randeep joined NEOPATH in October 2021 for a PhD jointly funded by the University of Sheffield and The Agency for Science, Technology and Research (A*STAR) in Singapore, where he will spend 2 out of the 4 years of his PhD. He is supervised by Dr Khurram and Dr Pavitra Krishnaswammy (I2R, A*STAR). He holds a BSc in Mathematics and Philosophy and an MSc in Pure Mathematics and Mathematical Logic - both from the University of Manchester - graduating in 2014 and 2015 respectively. Thereafter he worked in various jobs in technology before returning to academia to work as a research assistant at the University of Edinburgh, where he used machine learning to advance phenotypic drug discovery, gaining an MRes in the process. The aims of his PhD involve using machine learning and whole slide imaging to develop methods to aid the analysis of head and neck cancer cells, including automatic detection of lymph node metastases.