$ matrices --init

matrices :: independent practice :: automation · optimization · modeling · ai

systems that decide, adapt, and improve themselves.

matrices is the independent practice of sam cialek: fifteen years across quantitative finance, data science, and software engineering, focused on building systems that run unattended and get better while they run.

$ matrices --skills

# four capabilities, one practice

automation/

Agentic pipelines, workflow orchestration, and LLM-powered systems designed to run unattended. Human-in-the-loop checkpoints sit exactly where judgment matters, so the system does the routine work and people make the calls that count.

optimization/

Portfolio and resource-allocation optimization, and decision analysis under uncertainty. Objectives are distribution-aware, not just expected value: the tails, the variance, and the cost of being wrong all belong in the objective.

modeling/

Bayesian inference in Stan, PyMC, and NumPyro. Causal DAGs and treatment-effect estimation, agent-based simulation with synthetic populations, and probabilistic forecasting. Models that state their uncertainty instead of hiding it.

ai/

Applied LLM systems that ship: evaluation and scoring pipelines, adaptive question engines, and machine learning embedded in real products. Built to be measured, so they can be trusted.

$ matrices --work

# selected work

serif/

consumer health

A consumer-health causal inference engine. Serif turns wearable and biomarker data into personalized, dose-aware recommendations by propagating each user's data through a causal DAG and reading actions off Bayesian posteriors.

└─ 1,188 participants · 3 cohorts · causal DAG + Bayesian posteriors

prism/

adaptive measurement

A Bayesian adaptive political-disposition quiz. Prism models 14 latent dimensions and matches respondents against 130 archetypes, choosing each question in real time based on what it has already learned.

└─ 14 latent dimensions · 130 archetypes · converges in about 30 questions

markets/

forecasting

Prediction-market tooling. Bayesian decomposition of contract prices into shared latent terms, so related contracts inform each other, with live dashboards and an active forecasting track record behind it.

└─ shared latent terms · live dashboards · active track record

$ matrices --whoami

# operator

name
sam cialek
practice
matrices, an independent practice for automation, optimization, modeling, and AI
education
B.A. Economics & Mathematics, NYU, 2011 MBA, Columbia Business School, 2019 M.S. Computer Science, Georgia Tech, 2024
experience
15 years across quantitative finance, data science, and software engineering
essays
matricesofconfusion.com

$ matrices --contact

# open a channel

If you have a decision system worth building, or a process that should be running itself by now, get in touch. A 30-minute conversation is usually enough to tell whether there is a fit.