Researchers
Researchers and Post-Doctoral Fellows are listed here. Other department members include, Faculty, Graduate Students and Staff.
Postdoctoral Fellows
Xueqing Liu
She/her/hers
Postdoctoral Fellow
Research Interests: Mobile health, Causal inference, Statistical reinforcement learning
Shuang Song
shuangsong@hsph.harvard.eduPostdoctoral Fellow
Research Interests: Statistical Genetics, Whole-Genome Sequencing Studies, AI-Empowered Statistical Methods, Bayesian Methodology
Gabriel Arpino
He/him/his
Postdoctoral Fellow
Research Interests: Machine learning, optimization, high-dimensional statistics, applied probability
Yongkai Chen
yongkaichen@fas.harvard.eduHe/Him/His
Postdoctoral Fellow
Research interests: Nonparametric and Bayesian methods, Machine learning, Bioinformatics
Young Cho
younghyuncho@fas.harvard.eduPostdoctoral Fellow
Research Interests: Reinforcement Learning, Uncertainty Quantification, Trustworthy AI
Seunghyun Lee
seunghyun_lee@fas.harvard.eduPostdoctoral Fellow
Research Interests: Graphical models, High-dimensional statistics, Bayes and empirical Bayes, Psychometrics
Jixin Li
Postdoctoral Fellow
Research Interests: Just-in-Time Adaptive Interventions, Mobile Health, Ecological Momentary Assessment, Uncertainty Quantification, Human-Computer Interaction
Ruiting Liang
rliang@fas.harvard.edu Research Interests: Distribution-free inference, Algorithmic stability, Machine learning theory
Brian Liu
brianliu@hsph.harvard.eduPostdoctoral Fellow
Research Interests: Machine learning, Ensemble learning, Tree-based methods, Discrete and Combinatorial optimization
Haoran Lu
haoranlu@fas.harvard.eduPostdoctoral Fellow
Research Interests: LLM, Agent systems, causal inference, generative models, spatial transcriptomics
Difan Song
difansong@fas.harvard.eduPostdoctoral Fellow
Research Interests: Bayesian statistics, Causal inference, Design of Experiments, Uncertainty Quantification
Visiting Scholars
Kyra Delray
Visiting PhD Student
Research Interests: Heterogeneous effects in health, physiology & wellness Dynamic treatment regimes Statistical Machine learning Applied statistics in digital health apps Causal Inference
Nina Dörnemann
Visiting Professor
Research Interests: High-dimensional statistics Random matrix theory Change-point analysis
Lucas Janson
ljanson@fas.harvard.edu(He / him / his)
Associate
Research Interests: High-dimensional inference Interpretability, Inference for adaptively collected data
Hsin-Yu Lai
Associate
Research Interests: Inference Reinforcement Learning Healthcare Signal Processing
Nicolas Leenaerts
nicolasleenaerts@fas.harvard.eduAssociate
Research interests: Psychiatry, Addiction, Ecological Momentary Assessment, JITAIs, Machine Learning, Reinforcement Learning
Lester Mackey
He/him/his
Associate
Research Interests: Statistical machine learning, scalable algorithms, high-dimensional statistics, approximate inference, probability, distribution compression, climate and weather forecasting, social good
Ke Sun
He/Him/His
Associate
Research Interests: Statistical Reinforcement Learning, Machine Learning
