Jiqiang Guo

New York, New York, United States

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Summary

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Rockstar

🎓

Top School

Jiqiang Guo is a PhD-trained statistician and seasoned quant developer with 14 years of experience building research and trading systems in New York. He combines strong C++, Python and Scala engineering skills with deep expertise in Bayesian modeling—contributing to core Stan projects and RStan to improve sampling, debugging examples, and post-processing workflows. His industry work spans Millennium and boutique asset managers where he translated advanced statistical methods into live long-short equity strategies and production trading tools. Comfortable moving between research and production, he has a track record of fixing nuanced numerical bugs (e.g., integer-division and optimizer swaps) and adding practical features that increased reproducibility and flexibility of probabilistic inference.

14 years of coding experience

10 years of employment as a software developer

Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Iowa State University

Master, Management Science, Master, Management Science at Zhejiang University

Chinese, English

Github Skills (16)

bayesian-statistics10

statistics10

mcmc10

bayesian10

probabilistic-programming10

stan10

c-language10

statistical-models10

cprogramming-language10

bayesian-data-analysis10

statistic10

bayesian-inference10

r10

statistical-inference10

model-building9

Programming languages (8)

JavaC++RJavaScriptHTMLVim scriptRubyPython

Github contributions (5)

stan-dev/rstan

Apr 2012 - Aug 2018

RStan, the R interface to Stan

Role in this project:

Back-end Developer

Contributions:1 release, 993 commits, 26 PRs in 6 years 4 months

Contributions summary:Jiqiang's primary contribution was to add a feature for extracting samples for a fitted object, which involved modifications to the C++ code in `stan_fit.hpp` and `rstan/R/stanfit-class.R`, introducing a new method in the Rcpp module definition file. The code changes include new functions and functions, and it appears the changes involved refactoring for enhanced usability with the Stan system. This user also modified the source to fix a bug regarding integer division, indicating a focus on ensuring the code's mathematical soundness.

r-packagebayesian-inferencestanrstanrstats

stan-dev/example-models

Mar 2012 - Oct 2014

Example models for Stan

Role in this project:

Data Scientist

Contributions:54 commits in 2 years 7 months

Contributions summary:Jiqiang primarily contributes to example models for Stan, a probabilistic programming language. They refine and debug existing models, removing unused parameters and integrating binary parameters. The user also adds and modifies post-processing scripts in R for the analysis of the generated samples, incorporating comments, adjusting the file reading parameters, and integrating with BUGSExamples to compare with other tools. These modifications are spread across multiple example models, ensuring correct model execution and providing insights into the model's behavior.

stan

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