My passion has always been about finding the signal in the noise and, more generally, finding patterns in numbers. Whether it's finding submarines in a noisy ocean, fraud in a stream of transactions, or the design that minimizes wasted time or effort, I'm at home in data. I first lived this passion as an electrical engineer, focused on digital signal processing for defense and intelligence applications. In the last decade and a half, I've been a practicing data scientist and model risk officer, where I've focused on the application of various machine learning (ML) algorithms to business problems at Capital One.A second passion that has emerged is sharing what I've learned with others through teaching and mentoring. I was a founding member of Capital One's Tech College, leading the machine learning discipline. Since it's founding, my team and I have conducted in-person machine learning training for over 4000 enrollees and several thousand more who have taken advantage of our self-paced training.I'm known for blending hands-on work and leadership. I don't like to get too far away from the technical details, but also like having a say in strategic choices and direction. So far, I've been successful at navigating that edge between manager and technologist.If you noticed the picture at the top of the page, bicycling is one of my favorite activities. I've been riding in Bike MS since 2002, and am approaching $50,000 raised for the National MS Society. My wife and I also like to hike and discover new places to visit.Expertise: Machine Learning, Data Science, Training, Team Leadership, Model Risk Management, Python, Linux/Unix, Fraud Detection, Credit Risk, Marketing Response, Data Mining