People
The CADENCE Lab is based in the Department of Statistics at Texas A&M University and is led by Debangan Dey. We work closely with collaborators in biostatistics, psychiatry, public health, and statistics across several institutions.
Principal Investigator
Assistant Professor of Statistics · Principal Investigator
Multivariate stochastic processes across space and time · Mixed-type functional data and semiparametric Gaussian copulas · Digital health technologies (wearables, EMA) and mental health
PhD Students
PhD Student
Statistical methods for wearable and mHealth data
Gayun Kwon
PhD Student
Statistics, Ewha Womans University
Co-mentoring with Dr. Nilanjana Laha
Sufficient dimension reduction · Mixed-type functional data
Swapnonil Mondal
PhD Student
M.Sc. in Statistics, Indian Institute of Technology Kanpur
Co-mentoring with Dr. Rajarshi Guhaniyogi
Spatial statistics · Multivariate stochastic processes
Undergraduate Students
VR
Undergraduate Researcher
Statistics · Data science for digital health
Statistical Collaborators
Professor
Scalable Bayesian methods for big and spatio-temporal data · Tensor, network and functional data
Assistant Professor
Dynamic treatment regimes and causal inference · High-dimensional and semiparametric statistics
Assistant Professor
Functional and distributional data analysis · Wearables, accelerometry and CGM data
Professor
Digital health and wearable data science · Circadian rhythms, sleep and mood disorders
Professor
Spatial statistics and machine learning · Geospatial and environmental health data
Professor
Functional and longitudinal data analysis · Nonparametric statistics and imaging
Instructional Assistant Professor
Bayesian hierarchical and scalable spatio-temporal modeling · Conformal and distribution-free inference
Assistant Professor
Scalable computation for Gaussian processes · Nonstationary spatial and spatio-temporal dependence
Interdisciplinary Collaborators
NIH Distinguished Investigator
Genetic epidemiology of mood disorders · Real-time assessment of mental and physical health
Associate Professor
Social network analysis and systems science of health behavior · Youth physical activity and mental health
Interested in joining?
We are looking for motivated PhD, master’s and undergraduate students to work on statistical and machine learning methods for wearables ⌚️, smartphones 📱, and contextual environmental data 📍.