Probabilistic data-driven predictive models for energy applications 

Simulating electrical stimulation and recording in a multi-scale model of the hippocampus 

Essays on high-dimensional econometric models 

Prediction modeling and statistical analysis of amino acid substitutions 

Shrinkage methods for big and complex data analysis 

Essays on revenue management with choice modeling 

Structural system identification and health monitoring of buildings by the wave method based on the Timoshenko beam model 

Studies into computational intelligence approaches for the identification of complex nonlinear systems 

Predicting hospital length of stay (LOS) using the National Inpatient Sample 

Quality investment and advertising: an empirical analysis of the auto industry 

Modeling the mirror system in action observation and execution 

Optimizing an immortalized human alveolar epithelial cell line model system to recapitulate lung adenocarcinoma development in vitro 

A Maxent-based model for identifying local-scale tree species richness patch boundaries in the Lake Tahoe Basin of California and Nevada 

Model-based phenotyping of obstructive sleep apnea in overweight adolescents for personalized theranostics 

Model selection methods for genome wide association studies and statistical analysis of RNA seq data 

Statistical modeling and machine learning for shape accuracy control in additive manufacturing 

Distant metastatic nonrhabdomyosarcoma soft tissue sarcomas in children and adolescents: clinical features and survival outcome among patients in Children's Oncology Group Phase 3 Study ARST0332 

Data-driven modeling of the hippocampus & the design of neurostimulation patterns to abate seizures 

Large scale inference with structural information 

Assessment of the impact of second-generation antipscyhotics in Medi-Cal patients with bipolar disorder using panel data fixed effect models 

Gaze following in natural scenes: quantifying its role in eye movements, towards a more complete model of free-viewing behavior 

Design-time software quality modeling and analysis of distributed software-intensive systems 

Active state learning from surprises in stochastic and partially-observable environments 

Essays on labor and development economics 

Empirical study of informational regularizations in learning useful and interpretable representations