Author Spotlights

You studied sociology and the social and cultural foundations of education. How has your background shaped your perspective on the social impacts of AI? I feel my academic background has shaped my perspective on all...

You hold a Master’s in Physics and Astrophysics. How does your background play into your work in data science and AI engineering?  Physics taught me two things that I lean on on a regular basis:...

What motivates you to take dense academic concepts (like Stochastic Differential Equations) and switch them into accessible tutorials for the broader TDS community? It’s natural to wish to learn all the pieces in its natural...

In “What ‘Pondering’ and ‘Reasoning’ Really Mean in AI and LLMs,” you address the semantic gap between human and machine reasoning. How does understanding this distinction impact the way in which you approach model...

You wrote many beginner and explanatory articles on TDS. Has teaching the basics modified the way you design or debug real systems at work? I notice the correlation between the more I teach something, the...

You call your “AI Strategy Playbook” a set of mental models that help teams align on what to construct and why. Which models most frequently unlock clarity in executive rooms, and why do they...

You’ve argued that a well-designed experiment can teach you greater than knowing the counterfactual. In practice, where experimentation remains to be underused, what’s your minimum viable experiment when data is scarce or stakeholders are...

You studied economics, then learned to code and moved through product, growth, and now hands-on AI constructing. What perspective does that generalist path provide you with that specialists sometimes miss? I’m undecided.  People see generalists as...