Researching AI, forecasting, metascience, epidemiology, intellectual history, and cause prioritisation.

Public work here.

Co-founder of the Active Longtermist Emergency Response Team, a pop-up think tank filling gaps in state capacity. Ran initial strategy, fundraising, executive search, board selection, external collaborations, recruiting.

I am chair of the Emergent Ventures / Schmidt Futures panel on AI Talent.

Modelled COVID with Oxford / Imperial / Harvard colleagues. Probabilistic programming, technical writing, data cleaning, literature reviews.

7 papers in 14 months. I led a major study of mask effectiveness.

Buzzwords: PyMC3, MRP (hierarchical Bayes), AWS, Azure, Seaborn

Solo instructor in CS tutorials, training other TAs. Bayesian ML & Algos 2.

Buzzwords: Gaussian processes, Markov Random Fields, Bayesian opt., variational inference, dynamic programming, graph theory, complexity

Built dozens of ML models (GLMs, GBMs, neural nets) for actuarial pricing, medical risk, & image recognition. Web scraping at scale; migration from SAS to Hadoop, & Hadoop to Azure. Came in as a graduate data scientist, left as tech lead for a team of 4.

Jumped into web dev; my code deployed worldwide within 2 weeks.

Products: a medicine pump device manager & a pharmacy record system.

Buzzwords: C#, WPF, node.JS, MEAN, Ractive, Mongo, Vagrant, VMware

Made official statistics, Education Analytics. Testing for a data visualisation tool for teachers: SAS/SQL. Prep for the Social Care Survey 2015.

A quiet business. Read all of Arts & Letters Daily, all of 3 Quarks Daily, all of Crooked Timber, and all of Marginal Revolution every day for 9 months.

Dogsbody work at a small software company in Beijing. Handled expenses, learned Mandarin, looked at inefficiencies, saved face.