πŸ’ͺ Work πŸ’ͺ



  • 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.

    Buzzwords: Python, Spark, Keras, XGBoost, Tableau, Avro, Pytest, GDPR






  • 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.





πŸ†
Awards
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πŸ“ƒ
Publications
πŸ“ƒ






πŸ“–
Education
πŸ“–

  • AI PhD


    Probabilistic programming, AI safety. Long detour on COVID models.

    First year was a de-facto research Master’s (uncertainty modelling, NLP, GOFAI, legal aspects).

    Second year: COVID modelling. EPSRC Centre for Doctoral Training studentship (4 years fully funded).

    Thesis: Tensorised Probabilistic Programming




  • BSc Maths & Stats


    89% GPA β‰ˆ 96th percentile.

    Probability up to diffusion processes, regression to GLMMs, numerics to BFGS, linear algebra to multi-linear, RCTs. Part-time during FT work. Reviewed here.



  • MSc Software Development


    82% GPA β‰ˆ 85th percentile.

    Fairly vocational. Java, SQL, HTML/CSS/PHP, assembly, design patterns, data structures & algos.

    Thesis: Hidden Markov Models for Linguistic Accommodation.
    Full-ride Scottish Funding Council scholarship.




  • MA Economics & Philosophy


    85% GPA β‰ˆ 90th percentile.

    Micro and macro, Ethics, global justice, Continental philosophy, development policy, formal logic, social statistics, health policy, development policy.

    Dissertation: On the Abolition of Foreign Aid. Alumni Fund scholarship.







🐞
Tech
🐞



  • Brought modern language modelling (Flair) into Prolog for some reason.


  • Journal-grade modern Bayesian workflow in PyMC3. Probabilistic programming for epidemic modelling and effect estimation. End to end with data getters.


  • Python wrapper for the Hidden Markov ToolKit.


  • Solving little computational maths problems. Gimmick is I don’t import anything.






πŸ™‹
Volunteering
πŸ™‹


  •  


    Panellist on the EA Criticism and Red-teaming Contest. Ended up as top reviewer (170 reviews).



  •  


    Head of camp / instructor for the European Summer Programme on Rationality: a grand maths and experiential education camp.

    I ran ESPR 2022 and often run sessions on personal agency, research skills, speculative astronomy, and cultural literacy.



  •  


    Vetting & interviewing for a scrappy intro to AI safety research.



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    I started a thing to help people with executive dysfunction. Fully funded by a bitcoin rando! Thanks!



  • Resolution Council member of a short-lived AI prediction market.