About

My name is Nic Fishman, I am a PhD student in Statistics at Harvard University.

I build large-scale machine learning systems at the intersection of generative AI, multi-scale modeling, and causal inference, focusing on scientific applications in biology, healthcare, and social science.

Currently I am working on three major applied projects:

1. Foundation models for causal perturbation prediction in single-cell genomics.

2. Dynamic treatment effects and policy learning from medical foundation models trained on electronic health records.

3. Non-convex optimization for estimating vote choice in elections, with applications in causal inference.

In addition to application-driven work, I also consider questions about methodology and meta-science, trying to understand how to best use statistics, causal inference, and machine learning to answer scientific questions.

You can find a more complete CV here, and you can reach me at njwfish [at] gmail.com.