🚨 Looking for motivated students to work on statistical and machine learning methods for analyzing data from wearables ⌚️, smartphones 📱, with contextual location information📍!
📄 September 2026: New preprint — Bigraphical Matérn–Whittle (BMW) Processes for Fast Inference of Big Multivariate Spatial Data on General Domains with A. Manna and C. J. Geoga.
⚽ 2026: New preprint — Do In-Match Hydration Breaks Alter Match Momentum? A Within-Match Case-Crossover Analysis of the 2026 FIFA World Cup. arXiv · GitHub.
🏆 2026: Our team has won the NIH Director’s Challenge Innovation Award for Biologic Rhythms and Environmental Contexts in Human Health: Integrating Epidemiology and Circadian Science (PI: Kathleen Merikangas, NIMH; in collaboration with NIDDK, NHLBI, NIAAA, NIA, NHGRI, Northwestern, Nathan Kline Institute, Johns Hopkins, U Colorado, Texas A&M, and UT Southwestern). Debangan Dey (Texas A&M, Consultant) will oversee development of data management and analytic strategies for multilevel data, integrating intensive individual-level data with macro environmental factors.
⚽ 2026: Built a FIFA World Cup 2026 Bracket Predictor with Claude — Monte Carlo bracket odds, live ticket & hotel prices, and a trip planner that ranks your 3 cheapest venues (with day-trip detection and Google Flights links) so you can finally settle the “go or not go” debate.
💻 2026: Released M²FPCA — an R package for Multivariate Functional Principal Component Analysis of mixed-type functional data (continuous, truncated, ordinal, and binary) via a latent Gaussian copula. Companion to SGCTools.
📰 2025: Published Associations between daily outdoor temperature and subjective real-time ratings of emotional states and sleep in mood disorder subtypes in Journal of Affective Disorders — Featured by Texas A&M: Warmer Days, Better Moods? It’s Complicated.
📄 2026: New preprint — Doubly-Unlinked Regression for Dependent Data with A. Burman and S. Choudhury.
📄 2026: New preprint — Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders with R. Ghosal, K. Merikangas, and V. Zipunnikov.
📄 2026: Major revision of preprint — Regression and Dimension Reduction for Multivariate Mixed-Type Data via Semiparametric Gaussian Copula with V. Zipunnikov.
📘 2026: Will be teaching STAT 632: Statistical Methodology II-Bayesian Modeling and Inference in Spring 2026.
🎤 2026: Presented Digital Phenotyping for Mixed-Type mHealth Data in the invited session Data-driven Advances in Mental Health Statistics: Novel Methods for mHealth, Neuroimaging, and Causal Discovery at IBC 2026, Seoul, Korea.
📄 2025: Published Graph-constrained analysis for multivariate functional data in Journal of Multivariate Analysis with S. Banerjee, M. A. Lindquist, and A. Datta.
📰 2024: Published Association Between Electronic Diary–Rated Sleep, Mood, Energy, and Stress With Incident Headache in a Community-Based Sample in Neurology with T. Lateef, A. Leroux, L. Cui, M. Xiao, V. Zipunnikov, and K. Merikangas. → Featured by: CNN, National Geographic