- The results are being filtered by the locality: London
B
Data Scientist and Molecular Biology PhD
City London United Kingdom
Biographical Info
- Interests: Data Science, Statistics, Bioinformatics, Genomics
C
Biographical Info
- R-Groups: Member R-Ladies Remote
- Interests: quantified self, machine learning
- Contact Method: Twitter, Linked In
Updated 6 months ago.
Biographical Info
- Interests: Advance Analytics, Decision Science, MCDA, Visualisation, Prediction, Machine Learning, R integrations
- Contact method: LinkedIn
Biographical Info
- Interests: Manufacturing
- Contact method: Twitter
- Mentor for Johns Hopkins Data Sciences Coursera
D
Data Scientist
Biographical Info
- R-Groups: R-Ladies Global co-founder of & R-Ladies leadership team
- Interests: R and data science, datafication, data analysis, predictive modelling, data visualisation, data communication, mentoring, gender diversity in STEM
- Contact method: Twitter
- useR2016 , useR2017 & EARL London 2017
- Microsoft Most Valuable Professional
- Previously: Data Scientist at British Museum (Keynotes 1, 2, Talks 3,4,5,6) & Monitoring Evaluation Officer at Marine Stewardship Council
- Registered Scientist – Trained in ecologist and quantitative biologist
- Tech podcast – R-Ladies & Demystifying Data Science Talk
F
Biographical Info
- R-Groups: R-Ladies London, R-Ladies Global Leadership Team
- R-Packages: trackeR, psychomix
- Interests: data visualization, reproducibility, sport statistics, public transport
- Contact method: Twitter
Biographical Info
- Interests: Machine Learning, Artificial Intelligence, Data Science, Statistics – pretty much everything DATA
- Contact method: Twitter
H
Biographical Info
K
City London United Kingdom
Biographical Info
- Interests: finance, data visualisation
- Contact method: Twitter
PhD Candidate – Health & Rehabilitation Sciences/Communication Sciences & Disorders
Western University
Biographical Info
- R-Groups: R-Ladies London Ontario (#LdnOnt)
- Interests: Speech disorders, speech acoustics, neurodegenerative disease, speech communication technologies
- Contact method: Twitter
Biographical Info
- Interests: Learning health systems, epidemiology, outcome measurement
- Contact method: Twitter
Biographical Info
- Interests: Predictive Analytics, Reproducible Research, Data Visualization, Statistics, Open Data, Code Optimization
- Contact method: Twitter
L
Lecturer in Environmental Science – School of Geography
Queen Mary University of London
City London United Kingdom
Biographical Info
- Contact method: Twitter
Updated 6 months ago.
M
Senior Statistician
City London United Kingdom
Biographical Info
- Interests: statistics, reproducible research, psychometrics
Updated 10 months ago.
City London United Kingdom
Biographical Info
- Interests: health services delivery, AI-enable healthcare, many other developing interests
Updated 1 month ago.
City London England United Kingdom
Biographical Info
- Interests: Epidemiology, spatial statistics, data visualisation, host-pathogen interaction, citizen science
- Contact method: Twitter
City London United Kingdom
Biographical Info
- Interests: operational research, mathematical modelling
- Contact method: LinkedIn
P
Masters Student
University College LondonComputational Statistics and Machine Learning
Biographical Info
- Interests: natural language processing; deep learning; reinforcement learning; outlier detection
- Contact method: Twitter
S
Biographical Info
Updated 8 months ago.
Biographical Info
- Interests: language development, statistics, reproducible science
- Contact method: Twitter
City London United Kingdom
Biographical Info
- Interests: Conservation Biology, Spatial Data, Environmental Change, Raster Data
- Contact method: Twitter
T
Biographical Info
- R-Groups: Founder of R-Ladies London, Co-founder of R-Ladies Global
- Interests: econometrics, data visualisation, data democratisation, strategic insight, technical evangelism, mentoring & outreach
- R speaking engagements : https://earlconf.com/2016/london/speakers/
- Contact method: Twitter
V
Postdoctoral Researcher
King’s College LondonTwin Research & Genetic Epidemiology
Biographical Info
- Interests: data science, computer science, computational biology
- Contact method: Personal Site, Twitter
City London United Kingdom
Blog: Blog
Website: Github
Biographical Info
- R-Groups: Co-founder of R-Ladies Global
- R Packages: hddtools (CRAN & ropensci), rdefra (CRAN & ropensci), rnrfa (CRAN), kehra (CRAN), fuse, caliver, amca, curvenumber.
- Interests: environmental/hydrological/natural hazards modelling, web services, data science, reproducible research, open data, open source, data visualization.
- Contact method: Blog
