Online Tutor Dan

Over 2,000 Hours Experience Teaching at Undergraduate Through to PhD level. MSc in Finance, BSc in Physics from Imperial College London.

I have been teaching for more than 10 years. I teach finance, statistics, econometrics, and a broad range of other topics from applied mathematics and statistics up to PhD level. I have an extensive familiarity with the undergraduate and postgraduate syllabuses of many UK institutions, including LSE, Durham, Bristol, UCL and Warwick.

An early and enthusiastic adopter of online teaching methods, I now teach exclusively online, believing this to be the superior teaching solution in most cases. Before teaching I worked in data analytics, and still enjoy doing some freelance data science in my spare time, using many of the same ideas I teach my students.

My teaching interests have broadened with time, from mathematical finance to a broad range of applied mathematical and statistical subjects. Among them are included:

Mathematical finance - Ito calculus, Black Scholes theory, option pricing.
Differential equations - theory and methods of solution, both analytical and numerical.
Maximum Likelihood Estimators (MLE) - theory and applications
Generalised Method of Moments (GMM) estimators, particularly of the dynamic panel variety - diff GMM, sys GMM and so on
Numerical optimisation - linear and nonlinear programming, hill climbing algorithms etc
Data Science and Machine Learning - classification algorithms, theory and implementation.

I also have extensive experience consulting on data-driven projects conducted in Stata, R, Matlab and Python, working to implement these ideas among many others.