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 1 Part 1: Differential Calculus (edX) EdX
The London School of Economics and Political Science,LSE

Mathematics 1 Part 1: Differential Calculus (edX)

Discover the fundamentals of mathematics with 'Mathematics 1 Part 1: Differential Calculus' – a foundational course designed by experts at the London School of Economics (LSE). This course is perfect for those new to calculus or seeking to refine their mathematical understanding. Learn essential concepts, apply them through practical exercises, and gain confidence in your ability to tackle complex problems.

Self Paced
Self-Paced
Mathematics and Statistics Fundamentals Proctored Exam (edX) EdX
The London School of Economics and Political Science,LSE

Mathematics and Statistics Fundamentals Proctored Exam (edX)

Dive into a comprehensive examination of Mathematics and Statistics Fundamentals with this rigorous proctored exam offered by edX. This program is ideal for learners aiming to validate their knowledge gained from the LSE MicroBachelors program or seeking to advance their academic journey towards an undergraduate degree. Sharpen your skills in essential mathematical and statistical concepts, crucial for a wide array of professional fields.

Self Paced
Self-Paced
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