Samuel Whitaker Email & Phone Number

York, England, United Kingdom

Newcastle-upon-Tyne, England, United Kingdom

• Title: Fast and efficient Bayesian inference for complex epidemic modelsDeveloped complex, yet computationally efficient, statistical inference schemes used on large-scale disease outbreak data. Inferred model.
• Developed a Sequential Monte Carlo (SMC) scheme for mass action stochastic epidemic models with time varying infection rates, methodology tested on synthetic data and applied to two real data sets;
• Methodology and applications prepared and presented to statistics seminar group consisting of colleagues and peers, and at Newcastle University’s Postgraduate Conference 2021;
• Further developments included a Linear Noise Approximation (LNA) suitable for surveillance data;
• Co-authored; “Accelerating Bayesian inference for stochastic epidemic models using incidence data” (Published 12th October 23 in Statistics and Computing Journal). Currently writing; “Fast and efficient sequential.
• Advanced programming skills highlighted by the development of code for complex inference schemes using a variety of languages, including R and Python;

Newcastle Upon Tyne, United Kingdom

• Mid‑PhD lecturing opportunity within the School of Mathematics, Statistics and Physics. Responsible for creating, managing and delivering a multitude of statistics modules for students reading all years including.
• Created engaging material for multiple modules to be delivered in lectures, with complementary lecture notes and accessible online resources;
• Managed a large and varied workload, delegating appropriate tasks to postgraduate students. Maintained an excellent standard via regular reviews with markers;
• Designed examination material, working closely with senior lecturers, determined the assessment criteria and moderated the results;
• Received excellent evaluations from both students and colleagues commenting on the level of teaching and materials, with special mentions from senior lecturers and head of Statistics.Key skills
• Collaboration skills used whilst working with a variety of people, ranging from students to senior lecturers, to provide module material which was both engaging and accessible;

Doctor Of Philosophy - Phd, Statistics

Developed complex, yet computationally efficient, statistical inference schemes used on large-scale disease outbreak data. Inferred model.

Master'S Degree, Mathematics And Statistics, 1:1

A 4 year integrated masters course comprising core mathematics modules and advanced statistics modules. Years 1 and 2 also included some.