I am a PhD Candidate in the Dept. of Statistical Science at Duke University working with David B. Dunson. Broadly speaking, I am interested in the intersection between Bayesian inference and probabilistic machine learning. Currently, I am working on representation learning and latent variable modeling for high-dimensional data, motivated by scientific problems in genomics, computational biology, pharmaceutical development, and statistical ecology.

Prior to Duke, I completed a MSc in Data Science at Bocconi University, where I was a member of the BayesLab and was advised by Giacomo Zanella, with a thesis on stochastic gradient MCMC.

Feel free to contact me at lorenzo[dot]mauri[at]duke[dot]edu.

Research Interests

• High-dimensional inference, representation learning, and latent variable modeling
• Data integration and transfer learning (e.g. multi-study, multi-omics)
• Scalable Bayesian computation
• Generalized Bayes and uncertainty quantification
• Applications in genomics, computational biology, pharmaceutical development, and statistical ecology