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Hire Miles M.

United Kingdom

USD 25 /hr

Machine Learning and Predictive Modelling Expert | R, Python, PHP & SQL | Track Record of Publications

Profile Summary

I am a consistently hard-working bioinformatician with a real enthusiasm for the data-driven modelling aspects of bioinformatics. This is reflected in my current work, academic achievements, research experience, publications and self-taught programming skills. I am enthusiastic about machine learning as well as classical statistical approaches to predictive modelling, and am passionate about their potential to drive the discovery of novel therapeutics and solve complex biological problems.

Subject Matter Expertise

• ☆ Chemoinformatics
• ☆ Computational Chemistry
• ☆ Computational Biology
• ☆ Biostatistics
• ☆ Biochemistry
• ☆ Structural Biology
• ☆ Molecular Biology
• ☆ Genetics
• ☆ Next Generation Sequencing (NGS)
• ☆ Data Analysis
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Big Data Analytics
• ☆ Machine Learning
• ☆ Bioinformatics
• ☆ Structural Bioinformatics
• ☆ Python
• ☆ SQL
• ☆ Tensorflow
• ☆ LaTex
• ☆ R
• ☆ Scikit-learn
• ☆ Markup Languages
• ☆ Drug Discovery
• ☆ Pharmaceutical Technology
• ☆ Hypothesis
• ☆ Research Methodology

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Market Research, User Research, Meta-Research, Fact Checking, Gap Analysis, Gray Literature Search, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics, Data Processing, Data Insights

Product Development Prototyping

Work Experience

Computational Drug Discovery Researcher

SMVDGroup

June 2021 - Present

Freelance Machine Learning Expert

FIVERR

January 2022 - September 2022

Bioinformatics Intern

Asklepios Biopharmaceutical

May 2022 - August 2022

COVID-19 Data Analysis Intern

EpiGroup (The Usher Institute of Public Health)

June 2020 - September 2020

Education

MSc Bioinformatics

The University of Edinburgh

September 2021 - August 2022

BA(Hons) Biochemistry (1st class)

The University of Edinburgh

September 2017 - June 2021

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

McGibbon M, Money-Kyrle S, Blay V, Houston DR(2022). SCORCH: Improving structure-based virtual screening with machine learning classifiers, data augmentation, and uncertainty estimation . Journal of advanced research.

Miles McGibbon, Feifei Zhang, Humphrey Karamagi, Ngoy Nsenga, Miriam Nanyunja, Miriam Karinja, Seth Amanfo, Margo Chase-Topping, Giles Calder-Gerver, Alexandra Huber, et al.(2021). Predictors of COVID-19 epidemics in countries of the World Health Organization African Region . Nature Medicine. 27. (11). p. 2041--2047. Springer Science and Business Media {LLC}