Chien Lu(魯謙)

I am a doctoral researcher at Tampere University under the supervision of Jaakko Peltonen and Timo Nummenmaa. I am a member of SMiLE research group and CoE GameCult. My research focuses on Bayesian approach and its applications to game studies. I have also cooperated with researchers from other disciplines such as business and management and software development.


Bayesian Data Analysis, Probabilistic Machine Learning

Methodology development focusing on text mining related problems such as multiple sources, underlying temporal dynamics and collective analysis.

Empirical Analysis, Collatorative Works

Currently, I mainly cooperate with researchers from CoE GameCult, we focus on issues such as gamification, player studies, and game developement.


Tampere University, Finland (2018-)

Doctor of Philosophy
Doctoral Programme on Information and Systems (DPIS)

University of Tampere, Finland (2015-2018)

Master of Science
Master's Degree Programme in Computational Big Data Analytics (CBDA)
Thesis: An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples [see TamPub] (Extension work later published in AAAI 2020)

National Taiwan University, Taiwan (2007-2011)

Bachelor of Science
Public Health (with a focus on Biostatistics)



Introduction to R (LUOYY027, [Tampere Summer School 2020])
Introduction to R (LUOYY027, [Tampere Summer School 2019])
Course materials can be found [here]


Methodology Development

Conference Papers

Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa, and Kalervo Järvelin. Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates. Asian Conference on Machine Learning, 2021. [ best student paper award runner-up]
Chien Lu, Jaakko Peltonen, Jyrki Nummenmaa, and Kalervo Järvelin. Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining. ACM International Conference on Information and Knowledge Management, 2020.
Chien Lu, and Jaakko Peltonen. Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid. AAAI Conference on Artificial Intelligence, 2020.

Empirical Analysis

Journal Papers

Mika Vanhala, Chien Lu, Jaakko Peltonen, Sanna Sundqvist, Jyrki Nummenmaa, and Kalervo Järvelin. The Usage of Large Data Sets in Consumer Online Behaviour: a Bibliometric and Computational Text-mining-driven Analysis of Previous Research. Journal of Business Research, 2020.

Conference Papers

Chien Lu, Lobna Hassan, Oğuz Buruk, Timo Nummenmaa and Jaakko Peltonen. "Switch" Up Your Exercise: An Empirical Analysis of Online User Discussion of the Ring Fit Adventure Exergame. International GamiFIN conference, 2021.
Chien Lu, Elina Koskinen, Dale Leorke, Timo Nummenmaa, and Jaakko Peltonen. The World Is Your Playground: a Bibliometric and Text Mining Analysis of Location-Based Game Research. EAI International Conference: ArtsIT, Interactivity & Game Creation, 2020.
Chien Lu, Xiaozhou Li, Timo Nummenmaa, Zheying Zhang, and Jaakko Peltonen. Patches and Player Community Perceptions: Analysis of No Man's Sky Steam Reviews. DiGRA Conference, 2020.
Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Xiaozhou Li, and Zheying Zhang. What Makes a Trophy Hunter? An Empirical Analysis of Reddit Discussions. International GamiFIN conference, 2020.
Miikka Lehtonen, Chien Lu, Timo Nummenmaa, and Jaakko Peltonen. Adoption of Requirements Engineering Methods in Game Development: a Literature and Postmortem Analysis. EAI International Conference: ArtsIT, Interactivity & Game Creation, 2019.
Chien Lu, Jaakko Peltonen, and Timo Nummenmaa. Game Postmortems vs. Developer Reddit AMAs: Computational Analysis of Developer Communication. International Conference on the Foundations of Digital Games, 2019.
Xiaozhou Li, Chien Lu, Jaakko Peltonen, and Zheying Zhang. A Statistical Analysis of Steam User Profiles towards Personalized Gamification. International GamiFIN conference, 2019. [ best paper award]


Chien Lu. But Do Commit Messages Matter? An Empirical Association Analysis with Technical Debt. Joint Proceedings of the Inforte Summer School on Software Maintenance and Evolution, 2019.