About Principal Data Science Manager · Microsoft

I lead the data science behind some of Microsoft's biggest products.

And I care as much about how a decision gets made as what the number says.

I've built and led data science teams across Security and Productivity, two of Microsoft's largest product areas. The work is measurement, forecasting, and the analysis behind decisions about risk and growth.

I studied Information Science and Behavioral Psychology at Penn State, which is why I treat data problems as much about people and incentives as about models.

Operating lens

How I think about data

Three ideas sit under almost everything I build. Each is a live instrument: pick one, then move your pointer over the paper.

Prospect theory The same stake lands about twice as hard when it's a loss.
  1. Decoy effect →
  2. Build a shot →
  3. Play Calibrated →

Leadership

How I lead

I sit between the data and the decision. Each of these turns raw signal into something a leader can act on. Pick one to see it resolve.

  1. Spot the Lie →
  2. Forecasts Lead →
  3. Writing →
  4. Agent ROI →
Signal → Clarity A trusted form, resolved from noise.

Career

The trajectory

Four milestones, most recent first.