Duke University (919) Fuqua School of Business. 100 Fuqua Drive faculty.fuqua.duke.edu/ dbbrown/bio/ Durham, NC

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1 David B. Brown Version February, 2018 Contact Information Duke University (919) Fuqua School of Business 100 Fuqua Drive faculty.fuqua.duke.edu/ dbbrown/bio/ Durham, NC Academic Positions Fuqua School of Business, Duke University Associate Professor, Assistant Professor, current Education Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science Laboratory for Information and Decision Systems Ph.D., June, Dissertation title: Risk and robust optimization. Minors: Management (Sloan), Merrill-Lynch Financial Technology Option. Stanford University Department of Electrical Engineering M.S., March, B.S. with distinction, June, Working Papers Brown, D.B. and J.E. Smith Index policies and performance bounds for dynamic selection problems. Balseiro, S.R. and D.B. Brown Approximations to stochastic dynamic programs via information relaxation duality. Publications Balseiro, S.R., D.B. Brown, and C. Chen Static routing in stochastic scheduling: performance guarantees and asymptotic optimality. Operations Research, to appear. Brown, D.B. and M.B. Haugh Information relaxation bounds for infinite horizon Markov decision processes. Operations Research, 65(5), Brown, D.B. and J. Smith Information relaxations, duality, and convex stochastic dynamic programs. Operations Research, 62(6) Brown, D.B. and J. Smith Optimal sequential exploration: bandits, clairvoyants, and wildcats. Operations Research, 61(3) Brown, D.B., E. De Giorgi, and M. Sim Aspirational preferences and their representation by risk measures. Management Science, 58(11) Brown, D.B. and J. Smith Dynamic portfolio optimization with transaction costs: heuristics and dual bounds. Management Science 57(10) Bertsimas, D., D.B. Brown and C. Caramanis Theory and applications of robust optimization. SIAM Review 53(3)

2 Brown, D.B., B. Carlin and M.S. Lobo Optimal portfolio liquidation with distress risk. Management Science 56(11) Ben-Tal, A., D. Bertsimas and D.B. Brown A soft robust model for optimization under ambiguity. Operations Research 58(4) Brown, D.B., J. Smith and P. Sun Information relaxations and duality in stochastic dynamic programs. Operations Research 58(4) Bertsimas, D. and D.B. Brown Constructing uncertainty sets for robust linear optimization. Operations Research 57(6) Brown, D.B. and M. Sim Satisficing measures for analysis of risky positions. Management Science 55(1) Brown, D.B Large deviations bounds for estimating conditional value-at-risk. Operations Research Letters 35(6) Bertsimas, D. and D.B. Brown Constrained stochastic LQC: a tractable approach. IEEE Trans. Aut. Control 52(10) Teaching Fuqua School of Business, Duke University 2006-current Decision Models (Daytime MBA), , (Weekend MBA), Convex Optimization (Ph.D.), 2007, 2009, 2011, 2013, 2015 Global Academic Travel Experience (GATE): China (Daytime MBA), 2008, 2009 Professional Experience Goldman Sachs Asset Management, Quantitative Equity Group (New York, NY) American Express, Asset Management Group (Cambridge, MA) Tamarind, Inc. (Palo Alto, CA) Cariden Technologies, Inc. (Menlo Park, CA) Hummingbird Hedge Fund (Palo Alto, CA) Panopticon/Broadbase Software (Menlo Park, CA) Honors/Awards Decision Analysis Society Best Publication Award for Optimal Sequential Exploration: Bandits, Clairvoyants, and Wildcats, with J. Smith. INFORMS, Distinguished Service Award, Management Science, INFORMS, Meritorious Service Award, Operations Research, INFORMS, First Place, Junior Faculty Interest Group Paper Competition, INFORMS, Seattle, WA, Second Place, George Nicholson Student Paper Competition, INFORMS, San Francisco,

3 CA, Presidential Fellow, MIT, Terman Award, Stanford Class of Tau Beta Pi, Stanford chapter, President s Award, Stanford University, Presidential Scholar, Stanford Class of Academic Service Associate Editor, Operations Research, Referee for: Operations Research, Management Science, SIAM Journal on Optimization, Math. Programming, Mathematics of Operations Research, Journal of Economic Theory, IEEE Transactions on Automatic Control, Manufacturing & Service Operations Management, INFORMS Journal on Computing, Operations Research Letters, Annals of Operations Research, SIAM Journal on Financial Mathematics, Quantitative Finance, Computational Optimization and Applications, others. George Nicholson Prize Committee, INFORMS, 2014, Panelist, NSF grant proposals. Selected Talks Index policies and performance bounds for dynamic assortment problems. IROM Seminar, UT Austin, McCombs School of Business. February, OR Colloquium, Princeton University, ORFE Department. December, Operations Seminar, Northwestern Kellogg, Operations Department. May, Operations Management Seminar, USC Marshall, Data Sciences and Operations. March, INFORMS Annual Meeting, Nashville, TN. November, Approximations to stochastic dynamic programs via information relaxation duality INFORMS Annual Meeting, Houston, TX. October, Semi-plenary, 14 th International Conference on Stochastic Programming, Búzios, Brazil. June, Information relaxation bounds for infinite horizon Markov decision processes 22 nd International Symposium on Mathematical Programming. Pittsburgh, PA. July, Mostly OM Workshop, Tsinghua University. Beijing. June, Stanford GSB OIT Seminar, Stanford, CA. April, INFORMS Annual Meeting, San Francisco, CA, November, Columbia IEOR-DRO Seminar, Columbia University, New York, NY. October, INFORMS Annual Meeting, Phoenix, AZ. October, work) (preliminary version of Information relaxations, duality, and convex stochastic dynamic programs ISyE Seminar, Georgia Institute of Technology, Atlanta, GA. March, RADM Seminar, The University of Texas at Austin, McCombs School of Business, Austin, TX. October, 2013.

4 INFORMS Annual Meeting, Minneapolis, MN. October, th International Conference on Stochastic Programming, Bergamo, Italy. July, th European Conference on Operational Research, Rome, Italy. July, INFORMS Annual Meeting, Charlotte, NC. November, Optimal sequential exploration: bandits, clairvoyants and wildcats Operations Research Seminar, Naval Postgraduate School, Monterey, CA. August, INFORMS Annual Meeting, Phoenix, AZ. October, Columbia IEOR-DRO Seminar, Graduate School of Business, Columbia University, New York, NY. October, st International Symposium on Mathematical Programming, Berlin, Germany. August, Fuqua Brown Bag Seminar, Fuqua School of Business, Duke University, Durham, NC. July, Operations Research Colloquium, Department of Management Science and Engineering, Stanford University, Stanford, CA. May, University of Michigan IOE Department Seminar, Ann Arbor, Michigan. October, Algorithms Seminar, Computer Science Department, Duke University, Durham, NC. October, University of Auckland Department of Engineering Science Seminar, Auckland, New Zealand. July, IFORS Conference, Melbourne, Australia. July, Dynamic portfolio optimization with transaction costs: heuristics and dual bounds DIMACS/CCICADA Workshop on Risk-Averse Algorithmic Decision Making, Rutgers University, May, INFORMS Computing Society Conference, Monterey, CA. January, INFORMS Annual Meeting, Austin, TX. November, Decision Sciences Seminar, Fuqua School of Business, Duke University, Durham, NC. September, th International Conference on Stochastic Programming, Halifax, Nova Scotia. August, Dual representation of choice and aspirational preferences Institute for Pure and Applied Mathematics: Workshop on Robust Optimization, UCLA, Los Angeles, CA. November, th European Conference on Operational Research, Lisbon, Portugal. July, Risk, Uncertainty, and Decision (RUD) 2010 Conference, Paris, France. June, Robust optimization: a quick tour NAS/CSTB Workshop on Computing for Sustainability, Washington, D.C. May, A satisficing alternative to prospect theory INFORMS Annual Meeting, San Diego, CA. October, th International Symposium on Mathematical Programming, Chicago, IL. August, 2009.

5 A soft robust model for optimization under ambiguity INFORMS Annual Meeting, Washington, D.C. October, Information relaxations and duality in stochastic dynamic programs IBM Research Seminar, Yorktown Heights, NY. May, UNC Stat-OR Colloquium, Chapel Hill, NC. December, CMU Tepper School of Business Operations Research Seminar, Pittsburgh, PA. November, Stanford GSB OIT Seminar, Stanford, CA. October, MIT Operations Research Seminar, Cambridge, MA. July, INFORMS Annual Meeting, Washington, D.C. October, Algorithms Seminar, Computer Science Department, Duke University, Durham, NC. February, ISE Seminar, Lehigh University, Bethlehem, PA. February, INFORMS Annual Meeting, Seattle, WA. November, Satisficing measures for analysis of risky positions INFORMS Annual Meeting, Washington, D.C. October, INFORMS Optimization Society Meeting, Atlanta, GA. March, INFORMS Annual Meeting, Seattle, WA. November, RISK: Perception, Policy & Practice Workshop, Statistical and Applied Mathematical Sciences Institute, Research Triangle Park, NC. October, Second International Conference on Continuous Optimization + Modeling and Optimization: Theory and Applications, McMaster University, Hamilton, Ontario. August, Fuqua Brown Bag Seminar, Fuqua School of Business, Duke University, Durham, NC. July, Risk and robust optimization ORIE Seminar, Operations Research and Industrial Engineering, The University of Texas at Austin, Austin, TX. April, Algorithms Seminar, Computer Science Department, Duke University, Durham, NC. December, A flexible approach to robust optimization via convex risk measures INFORMS Annual Meeting, Pittsburgh, PA. November, Decision Sciences Seminar, Fuqua School of Business, Duke University, Durham, NC. September, th International Symposium on Mathematical Programming, Rio de Janeiro, Brazil. August, Data, risk, and robust optimization Workshop in Operations/Management Science, Graduate School of Business, The University of Chicago, Chicago, IL. February, Decision Sciences Seminar, Fuqua School of Business, Duke University, Durham, NC. January, Robust linear optimization and coherent risk measures

6 Nicholson Student Paper Prize Session, INFORMS Annual Meeting, San Francisco, CA. November, Operations Research Colloquium, Department of Management Science and Engineering, Stanford University, Stanford, CA. October, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA. May, Constrained stochastic LQC: a tractable approach LIDS Student Conference, Department of Electrical Engineering and Computer Science, M.I.T., Cambridge, MA. January, Operations Research Center, M.I.T., Cambridge, MA. November, 2004.