Dr. Iain Dunning

AI, finance, transit, cities, history • NYC • iaindunning 📧 gmail

Iain Dunning

Recent History

Hudson River Trading
Head of AI • August 2018 – Present • NYC

I run HRT's AI team. We build some of the most advanced models of financial markets in the world, using state-of-art techniques combined with massive compute and data. These models are integral to HRT's trading strategies.

New York Transit Museum
Chairman of Board • May 2025 – Present • NYC

Founded in 1976, the New York Transit Museum is dedicated to preserving and sharing the stories of mass transportation. I serve as the chairman of the 501c3 not-for-profit organization that supports the museum.

Highlight
New York Transit Museum
2025 Friends of the New York Transit Museum Gala Presenting the Transportation Champion Award to Governor Kathy Hochul
Google DeepMind
Senior Research Engineer • July 2016 – July 2018 • London

Applying AI (reinforcement learning) to complex multiagent environments. Trained AI to play capture-the-flag with human-level performance (published in Science). [Arxiv, Youtube]

Massachusetts Institute of Technology
PhD Operations Research, Teaching Assistant • 2011–2016 • Cambridge, MA

At the Operations Research Center, supervised by Prof. Dimitris Bertsimas. Thesis: "Advances in robust and adaptive optimization: algorithms, software, and insights". Co-created award-winning JuMP optimization package. Co-created EdX class The Analytics Edge, taught MBA residential versions of the class at MIT Sloan School of Management.

Google
Intern • Summer 2013

Designed algorithms to improve search crawler prioritization, analyzed impacts on web-scale datasets with MapReduce/Flume.

University of Auckland
B.E.(Hons) Engineering Science • 2007–2010

Select Research

See Google Scholar for full list.
* indicates "first" author when alphabetical ordering used

Human-level performance in 3D multiplayer games with population-based reinforcement learning M. Jaderberg*, W. Czarnecki*, I. Dunning*, ..., T. Graepel.
Science, 2019. [Science] [arXiv] [video] [DeepMind blog]
CTF Research
What Works Best When? A Systematic Evaluation of Heuristics for Max-Cut and QUBO I. Dunning, S. Gupta, J. Silberholz.
INFORMS Journal on Computing, 2018. [PDF]
QUBO Research
JuMP: A modeling language for mathematical optimization I. Dunning, J. Huchette, M. Lubin.
SIAM Review, 2017. [arXiv] [JuMP package]
JuMP Research
Multistage robust mixed-integer optimization with adaptive partitions D. Bertsimas, I. Dunning*.
Operations Research, 2016. [Optimization Online]
Optimization Research
Reformulation versus cutting-planes for robust optimization D. Bertsimas, I. Dunning*, M. Lubin*.
Computational Management Science, 2016. [Optimization Online]
Robust Optimization Research
Computing in operations research using Julia M. Lubin, I. Dunning.
INFORMS Journal on Computing, 2015. [arXiv]
Julia Research