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Over my career leading engineering and data science teams — from regulated industries to early-stage startups to large enterprises — I’ve consistently seen one pattern: Teams can move incredibly fast when they understand how their work drives business value, and painfully slow when they don’t. Most recently, as VP of Engineering and Data Scienc...

The Power of Semantically-Meaningful and Human-Readable Representations As AI and data science leaders, we often focus on sophisticated algorithms and cutting-edge technologies. However, one fundamental yet frequently overlooked aspect can make or break your AI initiatives: how your data is represented. Let me share a practical guide that will ...

It’s 11 PM on a Sunday. You’re putting the finishing touches on a critical project, convinced that this extra push will finally get it over the line. Sound familiar? I’ve been there too many times. Despite these heroic efforts, I kept encountering a puzzling pattern: working harder didn’t consistently lead to better outcomes. Will Larson captur...

“We need AI to measure patient mood.” This was the directive I received when joining HealthRhythms as VP of Engineering & Data Science. Like many companies, they knew AI could transform their business but weren’t sure exactly how. Within 4 months, we doubled our usable data, increased our core prediction accuracy by 11%, and cut model itera...