Steve Moses

Steve Moses

I run Co-Intelligence Labs, an AI product and advisory firm — most excited by AI's ability to take on problems that matter: health, aging, and how people support each other.

Get in touchMy background

Background

I take AI from research to product to go-to-market.

Outcomes

The vector sum of me

At Co-Intelligence Labs, we have built an agentic AI system for seniors and piloted AI-coordinated support reaching thousands of people. We have advised C-suite executives at Fortune 50 companies — including JPMorgan Chase, where I was rated the top speaker at their Innovation Week.

Before that, I grew Amazon Pharmacy's enterprise business to multi-nine-figure annual revenue, and spent four years at Microsoft leading enterprise sales and partnerships for global publishers — The New York Times, News Corp, Time, Hearst, Bloomberg — and helping turn a machine learning research paper into one of Microsoft's first ML products, Azure Personalizer.

I trained as a researcher at the University of Cambridge, studying personalized AI for behavioral health. Earlier, at Accenture, I advised the Obama Administration on healthcare and Tanzania's Minister of Education on national education strategy.

I fell in love with the potential of AI somewhere in the middle of all that, and I've been at it ever since.

Organizations I've worked with

  • Amazon
  • Microsoft
  • JP Morgan Chase
  • University of Cambridge
  • Accenture
  • The New York Times
  • News Corp
  • Time
  • Hearst
  • Bloomberg
  • American Express
  • The Wall Street Journal
  • UCLA
  • WebMD
  • Prime Therapeutics
  • Blue Cross Blue Shield
  • Pioneer Square
  • 25 Madison
  • The Neuroleadership Institute
  • Biohaven

Research

AI that adapts to the person

My research has been focused on AI personalization — how a system can adapt to the way someone thinks, communicates, and decides. Primary applications have been behavioral health and remote care companions.

Academic positions

Visiting Researcher
University of Cambridge Behavioral Health Lab
Reviewer
The New England Journal of Medicine Catalyst (AI/ML applications)

Education

Cambridge
MRes · PhD candidate (on leave)
Duke University
MBA (Klopman Scholar)

Selected publications

  • Improving Weight Loss Adherence: A Machine Learning Approach to Personalized Chatbot Interventions
  • Using Qualitative Chatbot Messaging Content to Understand Anxiety and Hope Causation During Covid-19
  • Using Chatbots to Measure Wellbeing During Covid-19
  • SMS Text Agents with Healthy Food Delivery to Improve Healthy Eating