BIOGRAPHY
Computer Scientist with keen interests in mHealth, IOoT mobile application development and streaming applications. I am currently working on developing the RADAR-base and working on the ART, AIMS2TRIALS studies.
RESEARCH INTERESTS
mHealth; Machine Learning; Software Engineering; IoT
LATEST PUBLICATIONS
- The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity
- The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity
- 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
- 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
- Effect of schizophrenia common variants on infant brain volumes: cross-sectional study in 207 term neonates in developing Human Connectome Project
- DNAscan2: a versatile, scalable, and user-friendly analysis pipeline for human next-generation sequencing data
- DNAscan2: a versatile, scalable, and user-friendly analysis pipeline for human next-generation sequencing data
- Predicting type 2 diabetes prevalence for people with severe mental illness in a multi-ethnic East London population
- Sleep abnormalities in different clinical stages of psychosis: A systematic review and meta-analysis
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Large-scale Analyses of CAV1 and CAV2 Suggest Their Expression is Higher in Post-mortem ALS Brain Tissue and Affects Survival
- Predicting type 2 diabetes prevalence for people with severe mental illness in a multi-ethnic East London population
LATEST NEWS
- The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity
- The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity
- 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
- 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
- Effect of schizophrenia common variants on infant brain volumes: cross-sectional study in 207 term neonates in developing Human Connectome Project
- DNAscan2: a versatile, scalable, and user-friendly analysis pipeline for human next-generation sequencing data
- DNAscan2: a versatile, scalable, and user-friendly analysis pipeline for human next-generation sequencing data
- Predicting type 2 diabetes prevalence for people with severe mental illness in a multi-ethnic East London population
- Sleep abnormalities in different clinical stages of psychosis: A systematic review and meta-analysis
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study
- Large-scale Analyses of CAV1 and CAV2 Suggest Their Expression is Higher in Post-mortem ALS Brain Tissue and Affects Survival
- Predicting type 2 diabetes prevalence for people with severe mental illness in a multi-ethnic East London population