Data and analysis
Separate signal from noise.
I look at what was measured, what the data can support, and where interpretation starts to outrun the evidence.
About
I work in the translation layer between evidence, technology, and business reality: making complex things usable without pretending they are simple.

I started in neuroscience, studying behavior, learning, attention, and the messy gap between clean experiments and real human systems. That way of thinking still shapes how I look at technology.
Over time that moved into entrepreneurship, clinical and statistical work, product questions, AI implementation, and the practical work of helping teams make better decisions under constraints.
The site is the public version of that operating system: articles, interviews, research notes, talks, and projects from the places where science, technology, and business keep colliding.
Also: I am still a dancer at heart. Serious work is better when curiosity, rhythm, and a bit of play remain in the room.
Throughline
Research taught me to slow down around claims. Product and business work taught me that useful answers still have to survive incentives, adoption, and the everyday reality of teams.
Operating lens
Data and analysis
I look at what was measured, what the data can support, and where interpretation starts to outrun the evidence.
Technology
The interesting part is rarely the tool by itself. It is how a capability changes a workflow, a product, or a decision.
Business reality
Implementation has to survive incentives, habits, institutions, budgets, and the way people actually work.
Conversation
Writing and podcasting are part of the same operating system: conversations, notes, and arguments that make the work clearer.
Milestones
Research
A scientific foundation in behavior, attention, movement, adaptation, and the way humans learn inside complex systems.
Product
Entrepreneurial work around translating research and measurement into products, services, and organizational decisions.
Clinical work
Experience with clinical trial design, data analysis, regulatory constraints, and making evidence legible to teams.
Public work
A long-running public archive of interviews, articles, talks, and external appearances across science, technology, and business.
Research
Publications, research notes, and applied questions that shaped how I separate signal from noise.
OpenPodcast
Interviews with founders, scientists, operators, investors, and technologists.
OpenWriting
Arguments about technical change, institutions, business reality, and implementation.
Open