Pak Shing Ho

From experiment design to decision systems: turning data into reliable business actions.

Bridging econometrics and ML to improve high-stakes decisions at scale.

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Pak Shing Ho

Pak Shing Ho

Applied Scientist

LinkedIn

Amazon

Boston University

Biography

Pak Shing Ho is an Applied Scientist at LinkedIn (ex-Amazon) with 8+ years of experience building forecasting and causal inference systems for product, finance, growth, and operations decisions.

Interests

  • Causal Inference
  • Time Series Forecasting
  • Experimentation and Uplift Modeling
  • Machine Learning Systems
  • Philosophy

Education

  • Ph.D., Economics

    Boston University

  • M.Res., Economics and Finance

    Universitat Pompeu Fabra (Barcelona GSE)

  • M.Sc., Economics

    London School of Economics and Political Science

  • B.Com., Economics

    The University of Melbourne

Experience

Professional

 
 
 
 
 

Applied Scientist/MLE/Economist

LinkedIn

Jan 2025 – Present San Francisco Bay Area

Current focus includes:

  • Designing AI-driven causal reasoning systems that translate natural-language business questions into credible causal workflows
  • Building long-term experiment impact prediction with surrogate-index methods, Double Machine Learning, and backtesting against matured experiments
  • Combining experimental, observational, and product-behavior data to improve launch decisions under delayed feedback
 
 
 
 
 

Lead Scientist/Economist - Seller Growth & Amazon Shipping

Amazon

May 2020 – Jan 2025 Seattle, Washington, United States

Selected work included:

  • Leading forecasting and causal inference systems for seller growth, shipping, and logistics decisions
  • Designing modular forecasting architecture, reactive nowcasting, and LLM-assisted forecasting pipeline orchestration
  • Building decision systems for forecast-to-cost trade-offs, market-signal analysis, and operational planning
 
 
 
 
 

Economist

Amazon

May 2020 – Aug 2020 Seattle

Responsibilities include:

  • Causal inference and quasi-experimental analysis
  • Time series forecasting and risk decomposition
  • Business insight generation for planning and decision support
 
 
 
 
 

Quantitative Researcher

Geode Capital Management

Jun 2019 – Aug 2019 Boston, Massachusetts

Selected work included:

  • Researching equity alpha signals tied to ESG and sustainability factors in a quantitative investing setting
  • Constructing and backtesting proprietary ESG signal variants from granular vendor and alternative data sources
  • Evaluating signal behavior through portfolio-style tests, robustness checks, and factor interpretation
 
 
 
 
 

Researcher (NBER Affiliate)

Boston University

May 2018 – Jan 2019 Greater Boston Area

Selected work included:

  • Supporting Boston University research connected to NBER-affiliated joint work on political risk, country risk, capital flows, automation, and market power
  • Processing large-scale financial text corpora, including earnings call transcripts and SEC 10-K filings
  • Constructing text-based risk measures, research features, validation datasets, and automated empirical outputs
 
 
 
 
 

Research Assistant (affiliated, part-time)

National Bureau of Economic Research

May 2018 – Jan 2019 Greater Boston Area

Selected work included:

  • Applying computational linguistics to firm disclosures and management-analyst conversations
  • Linking text-derived measures to financial fundamentals, market outcomes, lobbying, and firm actions
  • Building reproducible Python, R, and Stata analyses for collaborative empirical research
 
 
 
 
 

Teaching Associate

Boston University

Sep 2016 – May 2020 Greater Boston Area

Responsibilities include:

  • Teaching graduate and undergraduate economics courses
  • Holding consultation hours and supporting student learning
  • Designing and evaluating assignments and exams
 
 
 
 
 

Research Associate

Boston University

Aug 2015 – Jan 2021 Boston, Massachusetts, United States
Research fields include empirical finance, firm dynamics, quantitative macroeconomics, ESG strategies, and textual data analysis.
 
 
 
 
 

Research Associate

Barcelona Graduate School of Economics

Sep 2013 – Jul 2015 Barcelona Area, Spain
Research assistantship and quantitative economics support.
 
 
 
 
 

Research Associate

Universitat Pompeu Fabra

Sep 2013 – Jul 2015 Barcelona Area, Spain
Research assistantship and quantitative economics support.

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