Carson Eisenach

Carson Eisenach

Senior Applied Scientist, Amazon


Carson is a Senior Machine Learning Scientist at Amazon where his research focuses on applying reinforcement learning to supply chain optimization. Other projects he currently works on include developing deep learning models for probabilistic time-series forecasting.

Before joining Amazon, Carson received his PhD in June 2019 from the ORFE department at Princeton University. While at Princeton, he was advised by Han Liu and his research focused on optimization, as applied to high-dimensional inference problems and stochastic decision-making. From September 2017 until August 2018, Carson interned at the Tencent AI Lab in Bellevue, Washington.

  • Reinforcement Learning
  • Artificial Intelligence
  • Statistical Learning
  • PhD in Operations Research and Financial Engineering, 2019

    Princeton University

  • M.A. in Operations Research and Financial Engineering, 2016

    Princeton University

  • B.A. in Mathematics and Computer Science, 2014

    Williams College

Recent & Upcoming Talks

High Dimensional Inference for G-Block Latent Variable Graphical Models
Is it possible to square the circle?
Marginal Policy Gradients for Complex Control
Topics in Multi-agent Reinforcement Learning


I have served as a teaching assistant for the following courses at Princeton University:

  • ORF245: Fundamentals of Statistics (Fall 2015, Fall 2016, Spring 2019)
  • ORF307: Optimization (Spring 2016, Spring 2017)
  • ORF405: Regression and Time Series (Fall 2018)