Engineer and researcher, with a focus on applying techniques from
machine learning and optimization to solve difficult decision problems -
plan a logistics network, run a power grid, or solve a video game.
Currently living in London, UK.
Contact: iaindunning 📧 gmail.
Senior Research Engineer (Nov. '17 — now)
Applying large-scale artificial intelligence techniques like deep reinforcement learning to complex environments and planning problems. Team lead for five engineers (May '17 —), tech lead for multiagent research engineering (Aug '17 —).
Research Engineer (July '16 — Oct. '17)
Teaching & Research Assistant (Sep. '11 — May '16)
See research and open-source software below.
Co-created X0,000-person EdX class The Analytics Edge. Taught MBA and executive MBA residential versions of the class at MIT Sloan School of Management.
Decision Support Engineer intern (June 13 — Aug. '13)
Worked on search engine crawler. Designed & implemented algorithms to improve the crawl prioritization, analyzed impacts on very large (O(1010) rows, O(103) TB) datasets with MapReduce/Flume.
Population Based Training of Neural Networks
M. Jaderberg, V. Dalibard, S. Osindero, W. Czarnecki, J. Donahue, A. Razavi, O. Vinyals, T. Green, I. Dunning, K. Simonyan, C. Fernando, K. Kavukcuoglu. (2017)
[arXiv] [DeepMind blog]
Extended formulations in mixed integer conic quadratic programming
J. P. Vielma*, I. Dunning, J. Huchette, M. Lubin.
Mathematical Programming Computation, 2017.
Multistage Robust Mixed-Integer Optimization with Adaptive Partitions
D. Bertsimas, I. Dunning*.
Operations Research, 2016.
Reformulation versus cutting-planes for robust optimization
D. Bertsimas, I. Dunning*, M. Lubin*.
Computational Management Science, 2016.
Computing in Operations Research using Julia
M. Lubin, I. Dunning.
INFORMS Journal on Computing, 2015.
Google Scholar for other references.
Some papers use alphabetical ordering - asterix indicates "first" author.
B.E.(Hons), Engineering Science (Mar. '07 — Dec. '10)