Martin Anthony

I joined the London School of Economics and Political Science in 1990 and I'm still here. (It's a great place to be.) I am a Professor of Mathematics in the Department of Mathematics and have recently been Head of Department. I've been an Academic Governor, a member of LSE's Council, and a member of committees and working groups too exciting and numerous to mention (or perhaps even remember). From September 2019, I am on partial secondment from the Department to the LSE-wide role of VCAB (Vice-Chair Academic Board).
I am originally from Paisley, in the west of Scotland, near Glasgow. Growing up in Paisley, I studied at Castlehead High School, then the University of Glasgow, graduating with a BSc in Mathematics in 1988. I completed a PhD in Mathematics in 1991, having studied at Royal Holloway College and LSE. I also have an MA in Higher and Professional Education (2002) from the Institute of Education, University of London and I was a member of the first cohort on LSE's Leadership Development Programme (2012-14).
My research interests are mainly in the mathematical theory underpinning machine learning, data science, and Boolean and pseudo-Boolean functions and I am also increasingly interested in the mathematical modelling of issues in data science such as algorithmic fairness and privacy. I won't bore you here with the details: see my publications page for hours of enjoyment.
I've taught a wide variety of courses at LSE. I won the inaugural 2014 LSE Students' Union Teaching Excellence Award for Sharing Expertise and Knowledge and I was a recipient in 2016 and 2017 of LSE Education Excellence Awards.

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Mathematics and Statistics Fundamentals Proctored Exam (edX)

Test your knowledge and ability to apply the concepts and methods from the four courses included in the LSE MicroBachelors program in Mathematics and Statistics Fundamentals and take your first step towards further study at undergraduate level or upskill in high-growth careers.

Mathematics 1 Part 2: Integral calculus, algebra, and applications (edX)

The second in a series of two courses which help you to master mathematics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.

Mathematics 1 Part 1: Differential Calculus (edX)

The first in a series of two courses from LSE which help you to master mathematics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.