Product research
Chemical manufacturer
Discovered why consumers rejected a product professionals loved, informing a new formulation that improved repeat purchases.
Read the case studyWe help you investigate a difficult question, work through an ongoing analytical challenge, or build tools for your team and your customers.
Analyze past estimates, project records, and change orders to find recurring sources of extra cost and where changing the process could help.
Connect customer feedback to changes in your product and service to identify warning signs and understand which customers may be at risk.
Bring scattered information together so your team can find patterns, compare findings, and repeat useful analyses without starting from scratch.
Product research
Discovered why consumers rejected a product professionals loved, informing a new formulation that improved repeat purchases.
Read the case studyAnalytics platform development
Helped DealSurface build a platform that identifies sales opportunities in insurance for its customers while reducing LLM processing costs by 99%.
Read the case studyPublic research · Santa Barbara
We analyzed State Street’s public comments to understand community priorities, then built a cost explorer around those findings so residents and professionals can examine the project’s costs through the issues they care about.
$56.89million
All construction · total project estimate $96.02m
Who you’ll work with
We work directly with you, from framing the question through analysis and delivery.

Bayesian modeling and applied research. Former Senior Principal Data Scientist at Invoca; research fellowships at Harvard, NASA, and the Kavli Institute.
Ph.D. in Astrophysics, UC Berkeley

Data science and software engineering. Built statistical products and large-scale data infrastructure at Invoca and Databricks.
M.S. & B.S. in Computer Science, USC
Supporting research that wins funding
“Sturdy Statistics helped us secure NIH funding through a combination of statistical expertise and hands-on research collaboration.”
Ramiz SomjeeGenomics Researcher · Washington University in St. Louis
We meet to understand your goals, your data, and your existing systems. Together, we agree on the scope, timeline, and what success looks like.
We work with your data to produce initial findings or a working prototype, giving your team something concrete to evaluate early.
After refining the work with your team, we deliver findings you can act on or software that fits into your workflow, and help you put it to use.
Tell us about your project and what you’re trying to achieve.
We’ll talk through where we can help.