Lisong Guo - Senior Data Scientist

Lisong Guo

Senior Data Scientist

Greater Nice Metropolitan Area France

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Summary

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Senior

🎓

Top School

Lisong Guo is a Senior Data Scientist with 11 years of experience applying machine learning, NLP, time-series forecasting, and big-data engineering across finance and travel-tech, currently focusing on FinCrime and AML at Revolut. He couples rigorous academic training—a PhD in Informatics and multiple master’s degrees—with hands-on production work building recommendation services, custom multinomial logit models in PyTorch, and distributed data pipelines on Hadoop/Spark and Kafka. A practical researcher and engineer, he has contributed to the popular Optuna project by integrating a SHAP-based parameter importance evaluator and improving test coverage and dependencies. Having lived and studied across five countries and mastered three languages, he brings strong cross-cultural collaboration skills and adaptability to complex, regulated environments. Known for bridging low-level systems experience (kernel debugging, erasure coding) with modern ML systems, he excels at turning research ideas into reliable, production-grade services.

11 years of coding experience

9 years of employment as a software developer

Bachelor's Degree, Computer Software Engineering, GPA : 4.61/5, ranking : 3/153, Bachelor's Degree, Computer Software Engineering, GPA : 4.61/5, ranking : 3/153 at Tongji University

Master's Degree, Informatics, cum laude, Master's Degree, Informatics, cum laude at Università degli Studi di Trento

Master's Degree, Informatik (Embedded System), cum laude, Master's Degree, Informatik (Embedded System), cum laude at Rheinisch-Westfälische Technische Hochschule Aachen

Doctor of Philosophy (Ph.D.), Informatics, avec la mention très honorable, Doctor of Philosophy (Ph.D.), Informatics, avec la mention très honorable at Université Pierre et Marie Curie (Paris VI)

English, French, Chinese, German

Github Skills (6)

scikit10

hyperparameter-optimization10

machine-learning10

python10

scikit-learn10

testing9

Programming languages (4)

ShellC++ScalaPython

Github contributions (5)

optuna/optuna

Apr 2022 - May 2022

A hyperparameter optimization framework

Role in this project:

ML Engineer

Contributions:5 reviews, 13 commits, 1 PR in 18 days

Contributions summary:Lisong primarily contributed to the implementation of a Shapley-based parameter importance evaluator within the Optuna framework. Their work involved integrating SHAP values to assess feature importance, refactoring the code, and dropping the pandas dependency. Furthermore, the user added test cases to validate the Shapley importance evaluator's behavior, including tests for different parameters such as the number of trees, maximum depth, and seed value. The user's contributions are related to the Optuna.integration module.

pythonoptimization-frameworkparallelhyperparameteroptimization

liaison/ocaml

Dec 2015 - Aug 2020

Contributions:2 commits, 2 pushes in 4 years 9 months

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