My name is Tomoshige Nakamura. I am an Assistant Professor in the Department of Health Data Science at Juntendo University. I received my Ph.D. in Engineering from the Keio University in Feb, 2021. I am very fortunate to be supervised by Professor Mihoko Minami. I am also very fortunate to work with Professor Hiroshi Shiraishi on random forest research.

Contact

• Address : 6-8-1, Hinode, Urayasu Shi, Chiba Prefecture, 279-0013, Japan
• Email : t.nakamura.gs[at]juntendo.ac.jp

Research Interest

• Counterfactual machine learning
• Bayesian modeling
• Tree-based nonparametric regression
• decision trees / regression trees
• Random forest (Generalized random forests)
• Tree boosting (Xgboost, Lightbgm, etc…)
• Bayesian additive regression model
• Model-based recursive partitioning
• Riemanian Geometry
• Dimension Reduction
• Feature Engineering
• Deep learning
• Econometrics
• Public health