About us

Neil founded Skin Analytics in 2012 with a vision to create a future where no one dies of skin cancer.Having grown up in Australia, he saw how vital early skin cancer detection is, building the company from an idea into the world’s first autonomous AI for cancer detection, trusted by patients, health systems and insurers worldwide.

Neil is a fellow at the NHS National Innovation Accelerator and formerly a Director at the GSMA, where he was responsible for supporting the creation of the mobile banking industry. He started his career as a consultant, working on various strategy and technology consulting projects for large blue-chip clients such as Vodafone, British Telecom and Virgin Media.

Neil received an Executive MBA in Entrepreneurship from the London Business School and a Bachelor of Science in Physics and Mathematical Sciences from The University of Western Australia.

Jack joined Skin Analytics having worked in computer vision and machine learning in both industry and academia for many years. He holds an MEng in Computer Systems Engineering from the University of Sussex and a Ph.D. in Computer Science from the University of Bristol.

David has 12 years of experience in Accounting, Finance and Operations in professional services, start-ups and FCA regulated lending. David is a Chartered Accountant (ICAEW) and has a BA in Geography from Oxford.

Dan is a practicing GP who has experience working within the AI & Digital Health settings. He sees the adoption of digital health technologies as key in helping healthcare services to evolve to offering support & efficiency improvements and optimise patient experience. Dan holds degrees in Medicine (BMBS) and Biomedical Sciences (BMedSci) from the University of Nottingham.

Jim has been working in technology for the last 20 years and is an experienced software engineer and technical architect. He joined the Skin Analytics team after a 10 year position as CTO of a digital agency in London. Jim has experience of building and scaling technology focused start-up businesses as well as previous experience in medical technology. Jim holds a BSc in Information Systems.

James has over 12 years experience in medical device regulatory and quality affairs with large and small medtech companies across multiple geographies, including UK, USA and Japan. He has a keen interest in software as a medical device and is excited about the future of AI in medical applications.

Helen has 17 years of clinical research experience in both corporate and academic settings delivering clinical trials and data generation. She has authored seven peer-reviewed journals. Helen has a PhD in medical microbiology from Leeds University.

Lucy brings over 20 years of experience in marketing for global consumer technology brands. She has experience in scaling consumer health tech across International markets and has a deep interest in the role AI is playing in transforming people-centric healthcare solutions.

Scott is a qualified specialist in medical leadership and management (FRACMA), a graduate of the AICD, a specialist public health physician (FAFPHM), while remaining a clinician with specialist standing as a general practitioner in rural practice. He has experience in health and education corporate governance and leadership in the private sector, public sector, higher education sector, international and Australian biotech sectors and in the military. His on-going research and experience have been in addressing health issues of developing nations, rural health and workforce, and particularly preventive approaches to public health challenges.

Niall qualified in Medicine from the University of Liverpool in 1991. He has been an NHS Consultant Dermatologist since 2000. He has special interests in skin cancer, hyperhidrosis and skin disorders in immunosuppressed patients. He has also been involved with postgraduate education for many years and is currently vice chair of the Specialist Advisory Committee for Dermatology, which oversees Dermatology training in the UK.

Dr Lucy Thomas MPharm MBChB MRCP UK (Dermatology) qualified from the University of Birmingham with a first-class honours medical degree. She works as an NHS Consultant Dermatologist at Chelsea & Westminster Hospital where she carries out general and complex medical dermatology clinics as well as skin surgery. Lucy has a passion for innovation and digital technologies and has attended the Exponential Medicine course run by Singularity University in San Diego. She has helped to establish a successful teledermatology service for urgent two week wait referrals at Chelsea & Westminster hospital which has now managed over 3000 patients, the results of which she has presented nationally on multiple occasions.

Chris is a professor of Public Health and Clinical Epidemiology at Exeter University. He is a School lead for research on test evaluation including systematic reviews, economic models and primary research. He leads the Exeter Test Group and is the diagnostics theme lead for PenCLAHRC. He is part of the Peninsula Technology Assessment Group (PenTAG). He directed the team delivering health technology assessments for national policy-making bodies, particularly NICE, from 2009 until 2015 and continues to support it by being the lead on HTAs of tests and through membership of its steering group. He is a long standing member of NICE’s Diagnostic Advisory Committee and recently joined the National Screening Committee.

Dr. Ko joined Stanford Medicine in 2012 and serves as Director and Chief of Medical Dermatology for Stanford Health Care (SHC) while also spearheading the dermatology department’s efforts around network development, digital health, quality/safety/performance improvement, and value-based care. He is active in a number of leadership roles within the organization including co-chairing the Clinic Advisory Council, a forum of medical and executive leaders of Stanford Health Care’s Ambulatory clinics, and as a Service Medical Director. His passion for melanoma, early cancer detection, and improving care delivery drives his efforts and research around leveraging advances in machine learning and artificial intelligence to increase the breadth of populations that can be reached. He chairs the American Academy of Dermatology’s Task Force Committee on Augmented Intelligence.