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garroshub/README.md

Hi there, I'm Garros Gong

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Glad to see you here!  

I love to talk data science, technology, investment and sustainability topics.

Talking about Personal Stuffs:

  • I’m currently working in the financial industry;
  • I hold a PhD in Management Sciences: Applied Operational Research

Research Interest
Decision Science, AI-Enabled Decision Support, Sustainable Operations Management, and Public Policy


I am a management science scholar whose research agenda begins in sustainable operations management and extends to how organizations and markets adapt under uncertainty. Using economic modeling, empirical analysis, and causal inference, I study how information frictions, incentives, and institutional constraints shape resource allocation and decision quality across environmental systems, public budgeting, market adjustment, and AI-enabled decision support. My prior experience in the financial sector gives me a grounded perspective on the decisions and constraints I study.


Publications

  • Authors: Gong, G., Dimitrov, S., & Bartolacci, M. R.
  • Journal: Production and Operations Management (2026)
  • Keywords: behavioral operations, crisis response, resource allocation, social media signals, emergency management, visibility-efficiency paradox
  • 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

Cost Fungibility in the Age of Neo-Mercantilism: Trade-Tax Substitution and Fiscal Space

  • Timeline: 2025–Present
  • Keywords: applied economics, trade policy, taxation, strategic adaptation, cost fungibility

Asynchronous Market Adjustment to Dividend Tax Shocks: Heterogeneous Responses and Coordination Frictions

  • Timeline: 2026–Present
  • Keywords: dividend taxation, market microstructure, investor heterogeneity, coordination frictions

AI-Enabled Decision Support for Tail-Risk Events in Prediction Markets

  • Timeline: 2026–Present
  • Keywords: AI decision support, tail risk, prediction markets, probabilistic forecasting, interpretable systems

Pinned Loading

  1. backtesting-skill backtesting-skill Public

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

    Python 2 1

  2. smart_money_planner_agent smart_money_planner_agent Public

    Enterprise-level agentic framework for multi-account financial planning and strategy orchestration.

    Python 1 1

  3. ai-economist-skill ai-economist-skill Public

    Structural AI for Macroeconomic Intelligence

    Python 2 1

  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 1 1

  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 1

  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 2