🚨 Looking for motivated students to work on statistical and machine learning methods for analyzing data from wearables ⌚️, smartphones 📱, with contextual location information📍!
🎤 December 2026: Will present Doubly-Unlinked Regression for Dependent Data in an invited session at the IISA 2026 Conference, Banaras Hindu University, Varanasi, India (Dec 26–30).
🎤 October 2026: Will present Bigraphical Matérn–Whittle (BMW) Processes for Fast Inference of Big Multivariate Spatial Data on General Domains at the Statistics Seminar Series, Department of Mathematics and Statistics, University of Maryland, Baltimore County (UMBC) (Oct 30).
📄 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