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garroshub/README.md

Garros Gong: empirical operations management, business analytics, applied economics and finance, and AI-enabled decision support

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About

I am an empirical operations management researcher working at the intersection of applied economics, supply chains, AI-enabled decision support, and sustainability. My research studies how information frictions, incentives, and operational constraints shape decision quality across data-driven business settings.

I recently completed my Ph.D. in Management Sciences at the University of Waterloo. I also bring senior finance-industry experience in pricing, profitability, investment strategy, treasury, and fixed-income research.


Research Interest
Business Analytics, AI-Enabled Decision Support, Sustainable Operations Management, Supply-Chain Resilience, and Applied Economics and Finance


My research agenda examines how organizations and markets adapt under uncertainty. Using economic modeling, empirical analysis, causal inference, and machine-learning tools, I study resource allocation and decision quality in settings where data, incentives, and operating constraints interact.


Research agenda map across applied economics, supply chains, AI-enabled decisions, and sustainability


Publications

  • Authors: Gong, G., Dimitrov, S., & Bartolacci, M. R.
  • Journal: Production and Operations Management (2026)
  • Keywords: empirical operations, emergency response, resource allocation, digital signals, decision-making under uncertainty
  • Authors: Gong, G., Dimitrov, S., & Bartolacci, M. R.
  • Journal: Discover Sustainability (2024)
  • Keywords: wildfire management, social media analytics, Web 3.0, digital coordination, decision support

Conference Presentations

  • Presented at: 2024 INFORMS Telecommunications and Network Analytics Conference, Dallas, TX
  • Keywords: digital operations, disaster response, information systems, predictive analytics

Research In Process

Benchmarking Supply Chain Resilience: An Exposure-Conditioned Decision Framework

  • Keywords: supply-chain resilience, business analytics, decision support, network exposure, operating risk

Mechanism Uncertainty in Firm Adaptation to Supply-Chain Shocks: A Causal-Atlas Approach

  • Keywords: firm adaptation, causal inference, supply-chain shocks, empirical operations, mechanism evaluation
  • Keywords: AI-enabled decision support, text analytics, financial markets, calibration, risk analytics

Trade-Policy Exposure and Managerial Adjustment Margins: Regime-Dependent Evidence from Corporate Tax-Base Outcomes

  • Keywords: applied economics, trade policy, firm adjustment, tax-base outcomes, managerial decision-making

Sports Analytics

As a side interest, I build basketball analytics projects. My NBA Enhanced Defensive Index (EDI) and NCAA Basketball Defensive Fingerprint Scout use public NBA and NCAA data to evaluate defensive impact across multiple dimensions.

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  1. backtesting-skill backtesting-skill Public

    AI-native schema-driven backtesting skill for fast strategy idea evaluation, built on Zipline.

    Python 1 1

  2. ai-economist-skill ai-economist-skill Public

    Structural AI for Macroeconomic Intelligence

    Python 2 2

  3. college-basketball-defensive-fingerprint-scout college-basketball-defensive-fingerprint-scout Public

    Interactive public-data pregame scouting workspace for NCAA men's basketball coaches and video analysts.

    Python

  4. NBA-Enhanced-Defensive-Index NBA-Enhanced-Defensive-Index Public

    Advanced defensive metrics powered by a 5-dimensional Bayesian model. Evaluating Shot Suppression, Profile, Hustle, IQ, and Anchor capabilities.

    Python 45 4

  5. Modern-Portfolio-Optimizer Modern-Portfolio-Optimizer Public

    This Streamlit app calculates an optimal investment portfolio based on a user-defined minimum required return and selection of funds.

    Python 2 2

  6. Quant_Sector_Rotation_Strategy Quant_Sector_Rotation_Strategy Public

    A sophisticated quantitative trading strategy leveraging momentum and volatility signals for ETF sector rotation, enhanced with LLM-powered strategy analysis.

    Python 11 3