For UW faculty, staff and students: what we work on, the people at UW whose work aligns with ours, the students we would love to meet, and how to start, fifteen minutes from campus.
Our home is in Kirkland. A student can spend a summer at the Garage without moving house, and a professor can visit for the price of a coffee. Proximity compounds.
Private AI needs security, privacy and policy rigour. Long-horizon investing needs disciplined quantitative finance. UW has both at world-class depth, on the same campus.
UW's Tech Policy Lab was founded to bring technologists, lawyers and the public interest into one room. Making personal data something a person owns, governed by consent, is that kind of work.
This region built the cloud, modern online shopping, and a great deal of modern AI. Giving people real ownership of their data in the age of agents belongs here too.
Each area is a set of questions a faculty member or a student can pick up on their own terms. Neither needs the other.
Turning a person's attention, time and preferences into a private agent they own, one that manages their information and context across every agent that wants to know them, and only with their consent.
Long-horizon investing research: owning great, cash-generating businesses for decades, disciplined quantitative strategies, and results measured honestly and published whatever they show.
This is research, not an investment product. Nothing here is an offer or investment advice.
Brett Helsel Career Development Professor, Paul G. Allen School of Computer Science & Engineering; co-director, Security and Privacy Research Lab
Security and privacy for the people who use technology, including online tracking and advertising, and emerging platforms such as augmented reality.
Allen School profileAssociate Professor, Information School, and by courtesy the Allen School; faculty director, Tech Policy Lab
AI ethics and transparency, including how language models absorb human biases, and methods to measure and reduce them.
Tech Policy LabVirginia and Prentice Bloedel Professor, Information School and School of Law; co-founder and faculty director, Tech Policy Lab
Law and emerging technology, including privacy, artificial intelligence and robotics.
Information School profileProfessor, Information School; faculty director, Tech Policy Lab
Value sensitive design: building human values such as privacy, trust and autonomy into technology from the start.
Tech Policy LabBoeing Professor of Applied Mathematics, Department of Applied Mathematics; Director, Computational Finance & Risk Management (CFRM)
Financial mathematics and stochastic control, including algorithmic trading, derivatives, and exchange-traded funds.
CFRM peopleWe list faculty because their public work aligns with ours, and we would love to learn from them. Being listed does not mean someone works with us or endorses us. Anyone here can ask to be described differently or removed, at partners@hushh.ai. More UW faculty in our gratitude directory.
If one of these sounds like you, write to us. We never publish a student's name.
From the Allen School or the Information School. You would work on consent between agents and private AI infrastructure.
You build models and the systems they run on. You would work on private agents that run on hardware people own.
From CFRM or Applied Mathematics. You would work on permanent asset management and quantitative strategies research.
From Foster, the Information School, or the School of Law. You would work on going to market, policy, and trust.
Internships and the Garage Residency in Kirkland, fifteen minutes from campus. Paid properly, on work that ships.
One team, one real problem, one quarter, in either focus area. We bring the data and the mentorship; the credit is yours.
Work on questions from both focus areas, published on the normal academic timeline, whatever the results.
🤫 Agent One is free to every American, students included. Your data stays yours.
The same ladder every university gets, in order of commitment. We would be glad to start with the first step.
Coffee at the Garage, a lab visit, a guest lecture, a paper read together. No paperwork.
One team, one real problem, one term. We bring the data, the mentorship, and a letter of recommendation.
A faculty-led project on a question we define together, usually 12 to 18 months, with one or two PhD students.
Funding for one PhD student a year, in an area we both care about.
Several faculty, clear IP terms, and an annual review. This is how our university research labs work today.
One or two faculty with a standing voice in where our research and product go next.
We fund the engineering and the students' time. We never ask for free labour.
We never ask a researcher to delay, soften, or bury a finding. If our work fails a test, we want to know, and so should everyone else.
What each side brings, each side keeps. Anything new is worked out in good faith, through the university's own technology transfer office.
Every engagement has to be worth it for a student: mentorship, real data, published work, or a path to a job. Paid work is paid properly.
Anything that touches a joint project is consent-first, with a receipt for every access. That is the whole point of the company.
🤫 Agent One is free to every American, students included. We never sell anyone's data, their attention, or their contacts.
Sponsored research, IP and licensing go through the University's own offices, including CoMotion, on the University's terms.
Any advisory role or compensation for faculty follows UW's conflict-of-interest rules, disclosed in advance and in writing.
We never ask for student records. Anything a student shares with us is theirs to share, and theirs to withdraw.
Faculty, staff or student: write to us with what you work on. Forty-five minutes on campus or at the Garage in Kirkland. No deck. A whiteboard.
Know a PhD or Master's student who would love one of these questions? Introduce us. Summer work is paid properly.
Whether work belongs with CoMotion, the College of Engineering, the Office of Research, or somewhere else. We will follow UW's lead.
Your department or lab, what you teach, research or study, and which track interests you. Faculty, staff and students are all welcome, and every message is read by a person.
This page is ours, not the University's. It does not imply that the University of Washington, or anyone named here, endorses 🤫 hussh or any of our products.
