³ÉÈËVRÊÓƵ

Juan Camilo Serpa

Title: 
Associate Professor and Area Coordinator, Operations Management
Academic title(s): 

William Dawson Scholar

Academic Director, Management Science Research Centre

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Juan Camilo Serpa
Contact Information
Email address: 
juan.serpa [at] mcgill.ca
Alternate email address: 
gina.ceolin [at] mcgill.ca
Address: 

Bronfman Building, [Map]
1001 rue Sherbrooke Ouest
Montreal, Quebec
Canada
H3A 1G5

Ìý

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Area(s): 
Operations Management
Teaching areas: 
  • Government operations
  • Big data and analytics
  • AI for animal rights and biodiversity
Office: 
534
Group: 
Faculty
Tenured & Tenure Track
Research areas: 
Supply Chain Management
Sustainability Collaboration
Selected publications: 

Ìý

  1. (with Vibhuti Dhingra and H. Kri).
    • Management Science (2024) forthcoming
    • Selected at the 2022 MSOM SIG Conference
  2. Managing Airfares under Competition: A field Experiment (with Maxime Cohen and Alexandre Jacquillat)
    • Management Science (2023), 69(10)
  3. Inventory in Times of WarÌý(with Andres Jola)
    • Management Science (2021),Ìý67(10)
  4. Oversight and Efficiency in Public Projects: A Regression Discontinuity AnalysisÌý(with Eduard Calvo and Ruomeng Cui)
    • Management Science (2020),Ìý65(1)
  5. ÌýSupply Chain Proximity and Product Quality (with Robert Bray and Ahmet Colak)
    • Management Science (2019),Ìý65(9)
  6. The Impact of Supply Chains on Firm-Level Productivity (with H. Kri)
    • Management ScienceÌý(2018),Ìý64(2). Featured Article
  7. The Strategic Role of Business Insurance (with H. Kri).
    • 1st prize, 2015 Production & Operations Management Student Paper CompetitionÌý
    • Management Science (2017),Ìý63(2)
  8. ÌýPolicy Incentives for Dangerous (But Necessary) Operations (with H. Kri)
    • Production and Operations Management (2016),Ìý25(10)
  9. When Platforms Go Public, Standards Drop (with Maxime Cohen)
    • Production and Operations Management, 2024 (Conditionally accepted)

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Research Grants

  • SSHRC Partnership Engage Grant
    • Amount: $24,870Ìý(2024)
    • Role: Principal Investigator
  • SSHRC Connection Grant
    • Amount: $48,600 (2024)
    • Role: Principal Investigator
  • NSERC General Research Fund
    • Amount: $5,000Ìý(2023)
    • Role: Principal Investigator
  • SSHRC Insight Development Grant
    • Amount: $63,700Ìý(2023-2025)
    • Role: Principal Investigator
  • NSERC Discovery Grant
    • Amount: $126,000Ìý(2022-2027)
    • Role: Principal (and Sole) Investigator
  • NSERC Discovery - Early Career Launch SupplementÌýGrant
    • Amount: $12,500 (2022)
    • Role: Principal (and Sole) Investigator
  • William Dawson Scholar Fund
    • Amount: $125,000 (2019-2024)
  • SSHRC Partnership Engage Grant:ÌýIntroducing AI in Community Organizations: Designing and Implementing Smart Meals-on-Wheels Operations
    • Amount: $24,795 (2021-2022)
    • Role: Principal Investigator
    • Partner organization: Santropol Roulant
  • 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.
  • ³ÉÈËVRÊÓƵ Startup Grant
    • Amount: $45,000 (2016-2019)

Teaching Awards

  • 2021: 1st Prize,ÌýPrincipal's Award for Excellence in TeachingÌý(top teaching award atÌý³ÉÈËVRÊÓƵ, among all departments)
  • 2019: DesautelsÌýTeaching Award -ÌýTop Elective TeachingÌý(³ÉÈËVRÊÓƵ)
  • 2017: World's topÌý40 undergraduate professors (Poets and Quants)
  • 2017:ÌýDesautels Distinguished Faculty Teaching Award - Top Undergraduate TeacherÌý (³ÉÈËVRÊÓƵ)
  • 2015:ÌýKillam AwardÌýÌýfor excellenceÌýin teachingÌýÌý(University of British Columbia)
  • 2013:ÌýPaul Chwelos Memorial AwardÌýÌýfor excellenceÌýin teachingÌýÌý(University of British Columbia)

Invited research seminars

  • 2022: University of Virginia (Darden); nPlan (London, UK)
  • 2021: Stu Clark Distinguish Speaker —ÌýUniversity of Manitoba
  • 2020: University of Pennsylvania (Wharton), Ohio State University
  • 2019: Harvard University;ÌýUniversity of British Columbia; ESMT-Berlin; University of Utah; Cornell University.
  • 2018: London Business School.
  • 2017:ÌýNew York University (March); Duke University (March).
  • 2016: Northwestern University (June); HEC Montreal (October).
  • 2015:ÌýUniversity of MichiganÌý(January);ÌýWashington University in St. Louis (January);ÌýDuke University (January); University of Illinois at Urbana-ChampaignÌý(January);ÌýIndiana UniversityÌý(January);ÌýQueen's UniversityÌý(January); University of Western OntarioÌý(January); Ìý³ÉÈËVRÊÓƵ (December).
  • 2014:ÌýHong Kong University of Science and Technology (December); ÌýIESE School of BusinessÌý(December);ÌýRyerson UniversityÌý(December).

Teaching Evaluations

  • Summer 2021:
    • Statistical Foundations of Data Analytics (4.9/ 5.0)
    • COVID-19 Analytics: The Four Seasons of a Pandemic (5.0/5.0)
  • Fall 2020:Ìý
    • Multivariate Statistics and data analytics, Masters (4.8Ìý/5.0)
    • Statistical Foundations of Data Analytics (4.8 and 4.9/ 5.0)
    • Advanced topics in Management Science, MBA (4.9 /5.0)
  • Summer 2020:
    • COVID-19ÌýAnalytics: The Four Seasons of a PandemicÌý (5.0/ 5.0)
    • Statistical Foundations of Data Analytics Ìý(4.9/ 5.0)
    • Advanced topics in Management Science, MBA (4.9 /5.0)
  • Fall 2019:
    • Statistical Foundations of Data Analytics - 2 sections (5.0 and 4.9 / 5.0)
    • Multivariate Statistics and data analytics, Masters ( 4.9Ìý/5.0)
    • Advanced topics in Management Science, MBA (4.9Ìý/5.0)
  • Fall 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)
  • Fall 2017:
    • Statistical Foundations of Data Analytics (5.0/5.0)
    • Introductory Business Statistics - 2 sections ( 4.9 and 4.7/ 5.0)
  • Fall 2016
    • Introductory Business Statistics - 2 sections (4.8 and 4.9/5.0)
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