Danielle Belgrave

Danielle Belgrave's AcademicInfluence.com Rankings

Danielle Belgrave

Computer Science

#1968

World Rank

#2044

Historical Rank

Machine Learning

#260

World Rank

#263

Historical Rank

Database

#9844

World Rank

#10431

Historical Rank

computer-science Degrees

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Computer Science

Why Is Danielle Belgrave Influential?

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According to Wikipedia, Danielle Charlotte Belgrave is a Trinidadian-British computer scientist based at DeepMind, who uses statistics and machine learning to understand the progression of diseases. Early life and education Belgrave grew up in Trinidad and Tobago, where her high school mathematics teacher inspired her to work as a data scientist. She studied statistics and business at the London School of Economics . She was a graduate student at University College London , where she earned a master's degree in statistics. In 2010 Belgrave moved to the University of Manchester, where she earned a PhD for research supervised by Iain Buchan, Christopher Bishop and supported by a Microsoft Research scholarship. She was awarded a Dorothy Hodgkin postgraduate award by Microsoft and the Barry Kay Award by the British Society of Allergy and Clinical Immunology .

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Danielle Belgrave's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A genome-wide association study identifies CDHR3 as a susceptibility locus for early childhood asthma with severe exacerbations (2013) (478)
Peanut allergy: Effect of environmental peanut exposure in children with filaggrin loss-of-function mutations (2014) (235)
Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies (2014) (204)
Quantification of specific IgE to whole peanut extract and peanut components in prediction of peanut allergy. (2011) (181)
Lung function trajectories from pre-school age to adulthood and their associations with early life factors: a retrospective analysis of three population-based birth cohort studies. (2018) (159)
Trajectories of lung function during childhood. (2014) (152)
Relation between circulating CC16 concentrations, lung function, and development of chronic obstructive pulmonary disease across the lifespan: a prospective study. (2015) (129)
Evolution pathways of IgE responses to grass and mite allergens throughout childhood. (2015) (118)
Machine Learning in Mental Health (2020) (99)
AI for social good: unlocking the opportunity for positive impact (2020) (92)
The promise of machine learning in predicting treatment outcomes in psychiatry (2021) (88)
Assessing the association of early life antibiotic prescription with asthma exacerbations, impaired antiviral immunity, and genetic variants in 17q21: a population-based birth cohort study. (2014) (85)
Long-term Exposure to PM10 and NO2 in Association with Lung Volume and Airway Resistance in the MAAS Birth Cohort (2013) (83)
Patterns of IgE responses to multiple allergen components and clinical symptoms at age 11 years (2015) (78)
Joint modeling of parentally reported and physician-confirmed wheeze identifies children with persistent troublesome wheezing. (2013) (77)
Cytokine Responses to Rhinovirus and Development of Asthma, Allergic Sensitization, and Respiratory Infections during Childhood (2018) (66)
Disaggregating asthma: Big investigation versus big data (2017) (62)
Detection of IgE Reactivity to a Handful of Allergen Molecules in Early Childhood Predicts Respiratory Allergy in Adolescence (2017) (60)
Challenges in interpreting allergen microarrays in relation to clinical symptoms: A machine learning approach (2013) (58)
Challenges in identifying asthma subgroups using unsupervised statistical learning techniques. (2013) (57)
Identification of Asthma Subtypes Using Clustering Methodologies (2016) (55)
Distinguishing benign from pathologic TH2 immunity in atopic children. (2016) (52)
A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions (2020) (45)
Genetic variation in vascular endothelial growth factor-a and lung function. (2012) (44)
Understanding Client Support Strategies to Improve Clinical Outcomes in an Online Mental Health Intervention (2020) (38)
Characterizing wheeze phenotypes to identify endotypes of childhood asthma, and the implications for future management (2013) (38)
Evolution of IgE responses to multiple allergen components throughout childhood (2018) (38)
Age, sex and the association between skin test responses and IgE titres with asthma (2016) (34)
Atopic Dermatitis and Respiratory Allergy: What is the Link (2015) (34)
Differing associations of BMI and body fat with asthma and lung function in children (2013) (34)
Evaluation of the saccharide content and stability of the first WHO International Standard for Haemophilus influenzae b capsular polysaccharide. (2007) (25)
Challenges in interpreting wheeze phenotypes: the clinical implications of statistical learning techniques. (2014) (25)
Differential associations of allergic disease genetic variants with developmental profiles of eczema, wheeze and rhinitis (2019) (22)
Cat ownership, cat allergen exposure, and trajectories of sensitization and asthma throughout childhood (2017) (21)
Early-life inhalant allergen exposure, filaggrin genotype, and the development of sensitization from infancy to adolescence (2020) (20)
Trajectories of childhood immune development and respiratory health relevant to asthma and allergy (2018) (19)
Genetic variants in endotoxin signalling pathway, domestic endotoxin exposure and asthma exacerbations (2014) (19)
Asthma phenotypes in childhood (2017) (16)
Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification (2020) (11)
Temporal association of the development of oropharyngeal microbiota with early life wheeze in a population-based birth cohort (2019) (10)
Individual risk assessment tool for school‐age asthma prediction in UK birth cohort (2019) (9)
An international collaborative study to investigate a proposed reference method for the determination of potency measurements of fibrinolytics in absolute units (2007) (9)
Hide-and-Seek Privacy Challenge (2020) (9)
Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life (2017) (8)
Causal Discovery for Causal Bandits utilizing Separating Sets (2020) (6)
The importance of being earnest in epidemiology (2016) (5)
4th Pediatric Allergy and Asthma Meeting (PAAM) (2016) (4)
Machine learning applications (2020) (4)
Causal Bandits without prior knowledge using separating sets (2020) (4)
Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Environmental Associates (2012) (4)
Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support Effective ML System Design (2020) (3)
Multicentre evaluation of stable reference whole blood for enumeration of lymphocyte subsets by flow cytometry. (2005) (3)
A longitudinal study investigating factors associated with changes in lung function over time in early life (age 3 to 11) (2011) (1)
Developmental Pro les of Eczema , Wheeze , and Rhinitis : Two Population-Based Birth Cohort Studies (2014) (1)
Phenotyping immune responses In asthma and respiratory infections (2016) (1)
Abstracts from the 3rd International Severe Asthma Forum (ISAF) (2017) (1)
Redefining phenotypes of wheezing disorders during childhood to elucidate genetic predisposition (2012) (1)
PROPOSED 1 st INTERNATIONAL STANDARD FOR FACTOR XIII, PLASMA (02/206) FINAL REPORT AND RECOMMENDATIONS (2004) (0)
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task (2022) (0)
A Comparison of Frequentist and Bayesian Approaches to Latent Class Modelling of Susceptibility to Asthma and Patterns of Antibiotic Prescriptions in Early Life Student Poster Presentation (2011) (0)
Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning (2018) (0)
Generative models improve fairness of medical classifiers under distribution shifts (2023) (0)
O16 - Children with asthma and rhinitis are at a higher risk of asthma exacerbations than children with asthma only: longitudinal analysis (2014) (0)
Proceedings of the 26th International Workshop on Statistical Modelling. Valencia (Spain) (2011) (0)
Allergen-specific biomarkers to distinguish severe asthma endotypes (2016) (0)
Author response: Trajectories of childhood immune development and respiratory health relevant to asthma and allergy (2018) (0)
Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Genetic and Environmental Predisposition (2012) (0)
692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 (2015) (0)
(2019). Differential associations of allergic disease genetic variants with developmental profiles of eczema, wheeze and rhinitis. Clinical and Experimental Allergy (2019) (0)
A Graphical Approach to Missing Data in Longitudinal Analysis Using Infer.net. (2013) (0)
Comparison of Bayesian and Frequentist Methods for Identifying Markers of Susceptibility to Asthma. (2011) (0)
Benign versus pathologic Th2-immunity in atopic children (2016) (0)
Identifying children with persistent troublesome wheeze in childhood (2013) (0)
Standardising methodology in fibrinolysis assays: report of a collaborative study on a potential reference method for potency determinations of thrombolytics: On behalf of the Fibrinolysis Subcommittee of the Scientific and Standardization Committee, ISTH (2007) (0)
Non-parametric mixture models identify trajectories of childhood immune development relevant to asthma and allergy (2017) (0)

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Danielle Belgrave's Academic­Influence.com Rankings

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Danielle Belgrave's Published Works

Published Works

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What Schools Are Affiliated With Danielle Belgrave?

Danielle Belgrave's AcademicInfluence.com Rankings