Professor Richard Dobson
Head of Bioinformatics
Richard Dobson is Professor of Medical Informatics and lead for Bioinformatics and mHealth for the Maudsley BRC and King’s College London, & at the Institute of Health Informatics, UCL. He also co-chairs the Centre for Translational Informatics (CTI). The CTI is a partnership between university and healthcare sectors to facilitate the realisation of innovative healthcare applications.
His research is motivated towards enabling a “panor-omic” view of patients through the integration of genomics data with data derived from patient records, the exposome, social graphs, remote monitoring and imaging to develop strategies for P4 medicine, namely, medicine that is precise, predictive, preventative and participatory. The research has required the extensive use of computational approaches as such machine learning, the creation of software tools, development of a hospital development environments and large private cloud infrastructure with safe haven status to enable integration of patient datasets.
The work has led to a rich portfolio of academic collaborations, some key ones include TwinsUK, HipSci, the Alzheimer’s Research UK Drug Discovery initiative (ARUK-O3DI), GENAROAD, the Psychiatric Genomics Consortium, and The Center for Behavioural Intervention Technologies, Northwestern, Chicago (CBITS).
His research has strong links with the technology and pharma industry, charities, and academia (notably Farr Institute for Health Informatics). Dobson sits on grant review panels & strategy groups, including the DoH 10-year strategy for Population & Health Services Research in mental health working group, Genomics England (EHR GeCIP co-lead), Canadian Foundation for Innovation, mental health charity MQ, NIHR and London GMCs. He is UCL and KCL’s informatics lead for several industrial and academic collaborations, including the EU IMI2 European Medical Information Framework (EMIF), IMI2 €22m Remote Assessment of Disease and Relapse (RADAR-cns.org), H2020 Kconnect (kconnect.eu), IMI2 BigData4BetterHearts, Intel-Turing Institute collaboration, Lilly, UCB, Janssen, Biogen, GE, Intel, IBM, SoftwareAG, Michael J Fox Foundation, Vibrent (a major subcontractor to the US Precision Medicine Initiative) and FitBit.
Bioinformatics; biomarkers; modeling; next generation sequencing; machine learning; data integration; networks.
- The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity
- Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models
- Hospital-wide natural language processing summarising the health data of 1 million patients
- DNAscan2: a versatile, scalable, and user-friendly analysis pipeline for human next-generation sequencing data
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- BAME COVID-19 patients 10 years younger than white counterparts, study finds
- CogStack Featured in Secretary of State for Health and Social Care Matt Hancock’s keynote address to the Health Tech Alliance
- Despite potential benefits, big data faces resistance in healthcare
- Innovations in mental health – Tech Weekly podcast
- Fitbit data could help schizophrenia sufferers avoid relapse