- M.S. Statistics, University of Chicago, 2011
- B.S. Applied Mathematics, University of Chicago, 2011

- M. Lubin and I. Dunning, "Computing in Operations Research using Julia".
*INFORMS Journal on Computing*27(2), pages 238-248, 2015. DOI arXiv preprint - I. Dunning, V. Gupta, A. King, J. Kung, M. Lubin, and J. Silberholz, "A course on advanced software tools for Operations Research and Analytics".
*INFORMS Transactions on Education*15(2), pages 169-179, 2015. DOI Preprint - C. Petra, O. Schenk, M. Lubin, and K. Gärtner, "An augmented incomplete factorization approach for computing the Schur complement in stochastic optimization".
*SIAM J. Scientific Computing*, 36(2), pages C139-C162, 2014. DOI Preprint - M. Lubin, K. Martin, C. Petra, and B. Sandıkçı, "On parallelizing dual decomposition in stochastic integer programming".
*Operations Research Letters*41(3), pages 252-258, 2013. DOI Preprint - M. Lubin, J. A. J. Hall, C. Petra, and M. Anitescu, "Parallel distributed-memory simplex for large-scale stochastic LP problems".
*Computational Optimization and Applications*55(3), pages 571-596, 2013. DOI Preprint**COAP 2013 Best Paper & COIN-OR 2013 Cup winner** - M. Lubin, C. Petra, and M. Anitescu, "The parallel solution of dense saddle-point linear systems arising in stochastic programming".
*Optimization Methods and Software*27(4-5), pages 845-864, 2012. DOI Preprint

- J. Huchette, M. Lubin, and C. Petra, "Parallel algebraic modeling for stochastic optimization".
*Proceedings of HPTCDL '14*, pages 29-35. IEEE Press. DOI - M. Lubin, C. Petra, M. Anitescu, and V. Zavala, "Scalable Stochastic Optimization of Complex Energy Systems". In
*Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC '11)*, pages 64:1-64:10. ACM. Public download

- D. Bertsimas, I. Dunning, and M. Lubin, "Reformulation versus cutting-planes for robust optimization". Preprint
- J. Vielma, I. Dunning, J. Huchette, and M. Lubin, "Extended Formulations in Mixed Integer Conic Quadratic Programming". Preprint

- "JuMP: nonlinear modeling with exact Hessians in Julia". INFORMS 2014, San Francisco, CA, November 2014. PDF
- "JuMP: open-source algebraic modeling in Julia". APMOD 2014, University of Warwick, UK, April 2014.
- "Computing in Operations Research using Julia" (co-presented with I. Dunning). INFORMS 2013, Minneapolis, MN, October, 2013. PDF
- "Parallel and distributed solution methods for two-stage stochastic (MI)LPs". 21st International Symposium on Mathematical Programming (ISMP 2012), Berlin, Germany, August 2012.
- "Parallel linear-algebra decomposition methods in stochastic optimization". 7th International Workshop on Parallel Matrix Algorithms and Applications (PMAA 2012), Birkbeck University of London, UK, June 2012.
- "Parallel distributed-memory simplex for large-scale stochastic LP problems". Edinburgh Research Group in Optimization (ERGO) seminar, University of Edinburgh, UK, June 2012. PDF
- "Scalable Stochastic Optimization of Complex Energy Systems". 2011 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC '11), Seattle, WA, November 2011.

- "JuMP: open-source algebraic modeling in Julia" (co-authors I. Dunning and J. Huchette). 11th Mixed-Integer Programming Workshop, Ohio State University, July 2014.
**Honorable Mention, Best Poster Award**

- JuMP - A mathematical programming modeling language in Julia.
- PIPS-IPM - Parallel interior-point solver for large-scale block-angular (stochastic) LPs and QPs.
- PIPS-S - Parallel sparsity-exploiting revised simplex solver for large-scale block-angular (stochastic) LPs. Contact if interested.

- Previously spent a semester abroad in Córdoba, Argentina, at FaMAF (Universidad Nacional de Córdoba).
- NY Times article from my high school days.
- UChicago Sailing Club