is building the causal inference infrastructure of the future.

Hi, my name is Ken and I’m passionate about leveraging machine learning for causal inference tasks, particularly those utilizing observational data.

I have experience building visualization systems for large datasets at Visa, consumer mobile products at Nasdaq and Google, and causal inference analytics tools at Microsoft ResearchIBM Watson, and MIT CSAIL. I’ve just graduated online from MIT with a B.S. in Computer Science and a B.S. in Mathematical Economics.

I’m currently working on an exciting project at the intersection of data visualization and causal inference. I’m always looking to work with passionate people interested in empowering analysts with modern causal inference infrastructure.

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A casual introduction to causal inference for business analytics.


atoms and bits, mostly bits though