The older I get, the more difficult it is to describe who, what and where I am.

I’m a problem-solving numbers guy by training and inclination: I studied Physics (BSc, Bristol) and Informatics (Machine Learning) (MSc, Edinburgh), and I continually read and create analytical work.

During the last 15 years I’ve worked in NYC, London and Dublin for corporates, startups and my own company, in various flavours of insurance, statistics, software & product development, and strategy consulting.

I currently work in NYC at an underwriting startup (aka an instech / insurtech) where I’ve built from scratch and now lead, an international team of data scientists, engineers and actuaries: setting the strategy, defining process & methodology, undertaking statistical analyses & predictive modelling. We supercharge our MGA business partners (commercial & specialty underwriters across 10+ major product lines, >$1B total GWP, Lloyd’s & company markets) with performance analysis, risk selection, pricing, loss prevention, capacity management and new product development.

This blog is a continuation in spirit of The Sampler, a blog I wrote and co-wrote with colleagues as part of my Applied AI data science consultancy. Applied AI successfully ran for 5+ years with great clients and interesting projects, and we had a lot of fun. I’ll include selected posts from the archives here.

Now after a short hiatus in blogging, presenting, and co-creating meetups and civic data orgs, I’d like to get back into it. I’ve been a Scientific Python zealot aficionado for at least 10 years and love building probabilistic models in PyMC3, and that’s mostly what I’ll write about here in an attempt to get better by writing.

Also seen in:

• Twitter
• Github
• LinkedIn
• PyMC3 Discourse
• StackOverflow & Cross Validated
• Brooklyn

Standard disclaimer that the content on this site does not necessarily represent the views of my employers, and all copyright is reserved unless otherwise stated.