Juan Camilo Serpa
Title:
Associate Professor, Operations Management
Academic title(s):
William Dawson Scholar
Area(s):
Operations Management
Teaching areas:
- Business Analytics and machine learning
- Food Analytics
- Supply chain Risk Management
Link(s):
Office:
534
Group:
Faculty
Tenured & Tenure Track
Research areas:
Big Data & Machine Learning
Government Operations
Supply Chain Design & Management
Supply Chain Management
Supply Chain Risk Management
Selected publications:
- Inventory in Times of War (with Andres Jola)
- Management Science 2020 (forthcoming)
- Oversight and Efficiency in Public Projects: A Regression Discontinuity Analysis (with Eduard Calvo and Ruomeng Cui
- Management Science 2019, 65(12): 5449-5956
- Supply Chain Proximity and Product Quality (with Robert Bray and Ahmet Colak)
- Management Science, 2019, 65(9): 4079–4099
- The Impact of Supply Chains on Firm-evel Productivity (with Harish Krishnan)
- Management Science, 2018, 64(2), pp. 511–532 (Selected as featured article of February 2018 issue)
- The Strategic Role of Business Insurance (with Harish Krishnan)
- Management Science 2017, 63(2) pp. 384-404 (1st prize, 2015 Production & Operations Management Student Paper Competition)
- Policy Incentives for Dangerous (But Necessary) Operations (with Harish Krishnan)
- Production and Operations Management 2016, 25(10) pp. 1778--1798
- A Field Experiment on Airline lead-in Fares (with Maxime Cohen and Alexandre Jacquillat)
- Under second review at Management Science
- The Impact of IPOs on Peer-to-Peer Lending Platforms (with Maxime Cohen and Kevin Jiao)
- Preparing for second review at Management Science (major revision)
Research Grants
- William Dawson Scholar Fund
- Amount: $125,000 (2019-2024)
- SSHRC New Frontiers Grant: AI-Tribunal for Small Claims: Building an Intelligent Dispute Resolution System
- Amount: $244,562 (2019-2021)
- Role: Co-applicant (with Samuel Dahan, Maxime Cohen, Xiaodan Zhu, Yuri Levin, Jonathan Touboul)
- Covid-19 Rapid Response Grant: Quebec Data Central for Impact of COVID-19 on Society and Business and for a Post-Pandemic World
- Amount: $18,993 (2020-2021)
- Role: Principal Applicant
- SSHRC Insight Development Grant: Collaboration in Networks— The Paradox of Flexibility
- Amount: $50,000 (2019-2021)
- Role: Principal (and Sole) investigator.
- Fonds du Recherche du Québec, Societé et Culture -- Estimation de la relation entre la qualité du produit et la proximité de la chaîne d'approvisionnement
- Amount: $57,150 (2016-2019)
- Role: Principal (and Sole) investigator
- SSHRC Internal Development Grant
- Amount: $6,000 (2019)
- Role: Principal (and Sole) investigator.
- McGill Startup Grant
- Amount: $45,000 (2016-2019)
Teaching Awards
- 2019: Desautels Teaching Award - Top Elective Teaching (McGill University)
- 2017: World's top 40 undergraduate professors (Poets and Quants)
- 2017: Desautels Distinguished Faculty Teaching Award - Top Undergraduate Teacher (McGill University)
- 2015: Killam Award for excellence in teaching (University of British Columbia)
- 2013: Paul Chwelos Memorial Award for excellence in teaching (University of British Columbia)
Invited research seminars
- 2019: Harvard University Doctoral Colloquia (January); University of British Columbia (February); ESMT-Berlin (March); University of Utah (March); Cornell University (April).
- 2018: London Business School (January).
- 2017: New York University (March); Duke University (March).
- 2016: Northwestern University (June); HEC Montreal (October).
- 2015: University of Michigan (January); Washington University in St. Louis (January); Duke University (January); University of Illinois at Urbana-Champaign (January); Indiana University (January); Queen's University (January); University of Western Ontario (January); McGill University (December).
- 2014: Hong Kong University of Science and Technology (December); IESE School of Business (December); Ryerson University (December).
Teaching Evaluations
- 2020:
- Epidemiology analytics (5.0/ 5.0)
- Statistical Foundations of Data Analytics (4.9/ 5.0)
- Advanced topics in Management Science, MBA (4.9 /5.0)
- 2019:
- Statistical Foundations of Data Analytics - 2 sections (5.0 and 4.9 / 5.0)
- Multivariate Statistics and data analytics, Masters ( 4.9 /5.0)
- Advanced topics in Management Science, MBA (4.9 /5.0)
- 2018:
- Statistical Foundations of Data Analytics - 2 sections (5.0 and 4.9 / 5.0)
- Multivariate Statistics and data analytics, Masters ( 4.8 /5.0)
- Advanced topics in Management Science, MBA (4.7 /5.0)
- 2017:
- Statistical Foundations of Data Analytics (5.0/5.0)
- Introductory Business Statistics - 2 sections ( 4.9 and 4.7/ 5.0)
- 2016
- Introductory Business Statistics - 2 sections (4.8 and 4.9/5.0)
