From experiment design to decision systems: turning data into reliable business actions.
Bridging econometrics and ML to improve high-stakes decisions at scale.

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.
Ph.D., Economics, 2021
Boston University
M.Res., Economics and Finance, 2015
Universitat Pompeu Fabra (Barcelona GSE)
M.Sc., Economics, 2013
London School of Economics and Political Science
B.Com., Economics, 2012
The University of Melbourne
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Professional
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Selected technical briefings and walkthroughs based on published research notes.
Curated publications and research notes related to forecasting, causal inference, and economic decision systems.