I do engineering work that enables Epoch to run ML experiments with large language models.

Carlo is the only product that offers Monte Carlo simulation for Google Sheets or Excel Online. This lets you add uncertainty to your spreadsheets without compromising on real-time collaboration. Sophisticated mathematics is used behind the scenes to create two unique and intuitive features that users love: ▪ novel probability distributions that can flexibly match your knowledge (learn more at MakeDistribution.com) ▪ a sensitivity analysis that tells you what fraction of the output variance is due to each of the inputs and their interactionsCarlo is also dramatically faster than traditional Excel plugins, thanks to a fully rewritten computation engine.

I develop software for mathematical models. I've been hired three different times over this period. Here are the three projects I shipped: ▪ A system that quantifies the value of information of running studies such as clinical trials. https://valueofinfo.com/ https://github.com/tadamcz/value-of-information ▪ A mathematical model for forecasting the chance of success in projects of unknown difficulty (applied to the possibility that advanced AI may be developed). https://aipriors.com/ https://github.com/tadamcz/value-of-information ▪ A system that informs the optimal timing of grant-making, i.e. whether to spend philanthropic money now, or wait until later, when more can be given due to investment returns. (This work is not public).I combine knowledge of statistics, numerical analysis, and software engineering best practices to produce efficient models that can be trusted and relied upon. I build maintainable software systems with helpful abstractions for model users.

Backend engineering in Ruby on Rails

I developed quantitative cost-effectiveness models of health interventions.