Academic Qualification
- PhD in Electrical Engineering and Computer Science (Research in Supply Chain) Massachusetts Institute of Technology (MIT), 2008
- Master of Science in Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), 2005
- Bachelor of Mathematics, Double Honors in Computer Science and Combinatorics & Optimization, University of Waterloo, 2003
Professional Experience
- Partner, McKinsey and Company (Hong Kong), Oct 2018 - Present
- Partner, McKinsey and Company (United States), Jul 2008 - Sep 2018
Selected Publications
Books
- Charters in two SC books: Finding Opportunity in Uncertainty: A New Paradigm for Pharmaceutical Supply Chains and Supply Chain Transformation & Digitization.
Media
- “How Chinese consumers are changing shopping habits in response to COVID-19,” McKinsey & Company, May 2020
- “How China’s consumer companies managed through the COVID-19 crisis: A virtual roundtable,” McKinsey & Company, March 2020
- “Digital transformation: Raising supply-chain performance to new levels,” McKinsey & Company, November 2017
- “Digitization and advanced planning in CPG,” McKinsey & Company, April 2017
Talks
- "Optimizing your Value Chain", Sri Lanka Retail Forum, The Ceylon Chamber of Commerce, 2021.
- “Understanding the Chinese consumer in a COVID-19 environment”, Canada China Business Council, 2020
- “Communicating efficiently during COVID-19 and seizing the China opportunity”, Canada China Business Council, 2020
- Supply Chain Classes at MIT and NYU
Journal
- “Bridging the Procurement-Supply Chain Divide,” Supply Chain Management Review, September 2012.
- Huang, X. and Graves, S., “Capacity Planning in a General Supply Chain with Multiple, Contract Types”, POMP, approved for publication pending on revision.
- Huang, X., Ozdaglar, A. E., and Acemoglu, D., “Efficiency and Braess’ Paradox under Pricing in General Networks”, IEEE Journal on Selected Areas in Communications, Vol. 24, No. 5, pp. 977-991, 2006.
- Huang, X. and Small, C. G., “Calculating the simplex median”, Statistics and Computing, Vol. 14, issue 2, pp 91-98, 2004