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Juan Camilo Serpa

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

William Dawson Scholar

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

 

 

Area(s): 
Operations Management
Teaching areas: 
  • Business Analytics and machine learning
  • Food Analytics
  • Supply chain Risk Management
Link(s): 
Academic website
CV
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: 

 

  1. A Field Experiment on Airline lead-in Fares (with Maxime Cohen and Alexandre Jacquillat)
    • Management Science, Minor revision
  2. Inventory in Times of War (with Andres Jola, 2021)
    • Management Science, 67(10)
  3. Oversight and Efficiency in Public Projects: A Regression Discontinuity Analysis (with Eduard Calvo and Ruomeng Cui, 2019)
    • Management Science 65(12)
  4.  Supply Chain Proximity and Product Quality (with Robert Bray and Ahmet Colak, 2019)
    • Management Science, 65(9)
  5. The Impact of Supply Chains on Firm-Level Productivity (with Harish Krishnan, 2018)
    • Management Science, 64(2). Featured Article
  6. The Strategic Role of Business Insurance (with Harish Krishnan, 2017)
    • 1st prize, 2015 Production & Operations Management Student Paper Competition
    • Management Science,  63(2)
  7.  Policy Incentives for Dangerous (But Necessary) Operations (with Harish Krishnan, 2016)
    • Production and Operations Management,  25(10)
  8.  When Platforms Go Public, Standards Drop (with Maxime Cohen). Working Paper.
    • Management Science, major revision
  9. Project Networks and Reallocation Externalities (with Vibhuti Dhingra and Harish Krishnan). Working Paper.
    • Selected at the MSOM SIG Conference (2022)
    • Management Science, Under review 

 

Research Grants

  • NSERC Discovery Grant
    • Amount: $126,000 (2022-2027)
    • Role: Principal (and Sole) Investigator
  • NSERC Discovery - Early Career Launch Supplement Grant
    • Amount: $12,500 (2022)
    • Role: Principal (and Sole) Investigator
  • William Dawson Scholar Fund
    • Amount: $125,000 (2019-2024)
  • SSHRC Partnership Engage Grant: Introducing 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.
  • McGill Startup Grant
    • Amount: $45,000 (2016-2019)

Teaching Awards

  • 2021: 1st Prize, Principal's Award for Excellence in Teaching (top teaching award at McGill University, among all departments)
  • 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

  • 2022: University of Virginia (Darden); nPlan (London, UK)
  • 2021: Stu Clark Distinguish Speaker — University of Manitoba
  • 2020: University of Pennsylvania (Wharton), Ohio State University
  • 2019: Harvard University; University of British Columbia; ESMT-Berlin; University of Utah; Cornell University.
  • 2018: London Business School.
  • 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

  • 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: 
    • Multivariate Statistics and data analytics, Masters (4.8 /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-19 Analytics: The Four Seasons of a Pandemic  (5.0/ 5.0)
    • Statistical Foundations of Data Analytics  (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 ( 4.9 /5.0)
    • Advanced topics in Management Science, MBA (4.9 /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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