01
NHANES Sedentary Behavior Estimation
Reproducible estimation of waking sedentary time from wrist accelerometry using posture and sleep predictions, complex survey weights, and harmonized R/Python workflows.
Statistics PhD candidate · UMass Amherst
Turning complex data into evidence people can use.
I develop statistical and machine-learning workflows for wearable sensors, population health, and high-dimensional systems—with equal attention to methodological rigor and practical impact.
- 665K
- GPU job logs analyzed
- 7
- Peer-reviewed publications
- 3.98
- PhD GPA
Current focus
Deep-learning-based sedentary behavior estimation
Statistical inference
Machine learning
Wearable-sensor analytics
Public health
Complex survey analysis
R · Python · SQL
01 / About
Statistics grounded in the real world.
My work sits at the intersection of statistical methodology, machine learning, and public-health research.
I am a Statistics PhD candidate at the University of Massachusetts Amherst and a research assistant with UC San Diego’s ADALab. There, I’m translating a deep-learning posture model from Python into R and testing it on NHANES accelerometer data—down to matching timestamps, labels, and predicted probabilities.
My current research uses deep learning and complex-survey methods to estimate sedentary behavior from NHANES wrist accelerometry. I also work on nonparametric derivative estimation with penalized B-splines and applied problems spanning health, insurance, and research computing.
Methods
GAMs, GLM/GLMM, survey inference, penalized splines, survival analysis
ML
Deep learning, XGBoost, LightGBM, CatBoost, cross-validation, Optuna
Toolkit
R, Python, SQL, Git, Slurm, Jupyter, R Markdown, LaTeX
02 / Selected work
From wearable data to GPU clusters.
02
Unity GPU Efficiency Analytics
Led a four-person team and designed rate- and duration-normalized efficiency metrics across 665,000 cluster job logs to inform research-computing decisions.
→03
Policy Retention Modeling
An end-to-end insurance cancellation workflow combining policy history with FEMA, RUCA, and NIBRS context features, year-aware validation, and Optuna tuning.
→04
BikeRentalData
An R package for discovering, downloading, and standardizing official trip data across four U.S. bike-share systems, with calendar, weather, and infrastructure enrichment.
→05
Statistical Model Suggester
A web application that translates a user’s research problem into suitable model classes using structured, rule-based statistical guidance.
→06
Diabetes Burden in Sub-Saharan Africa
Regional comparisons, burden decomposition, mortality-to-disability patterns, and forecasts through 2030 using the latest Global Burden of Disease data.
→07
TB in Ghana Forecasting
A forecasting pipeline comparing classical and machine-learning models to project tuberculosis incidence, mortality, and mortality-to-incidence ratios through 2030.
→03 / Experience
Research, leadership, and teaching.
Building sound methods is only part of the job. I also care about clear communication, thoughtful collaboration, and tools that others can reuse.
Apr—Sep 2026
ADALab · UC San Diego
Research Assistant
Porting CNN/BLSTM posture-classification inference from Python to R and validating prediction equivalence on NHANES accelerometer data.
Fall 2026
UMass Amherst
Incoming Primary Instructor · STAT 111
Designing and teaching an introductory statistics course, including the full curriculum, assessments, office hours, and student feedback.
Jun—Aug 2025
Center for Data Science & AI · UMass Amherst
Project Manager
Led GPU-efficiency analytics from metric design through automated stakeholder reporting and research-computing recommendations.
2022—2026
Department of Mathematics & Statistics · UMass Amherst
Researcher, Statistical Consultant & R Tutor
Worked across nonparametric research, study design, reproducible modeling, technical recommendations, and R instruction.
04 / Publications
Selected writing.
2026
Impact of forest policy reforms on timber export performance in Ghana
Discover Forests
↗
2026
Beyond spending: nonlinear impacts of health financing and out-of-pocket costs on mortality in Africa
Health Economics Review
↗
2025
Efficacy of fenbendazole in small ruminants on Southern New England farms
Veterinary Parasitology
↗
2024
Modeling daily dynamics in bike rental systems: a semi-parametric approach
Scientific African
↗
05 / Connect
Have a question worth exploring?
I welcome conversations about research collaborations, statistical consulting, public-health analytics, and applied data-science work.
codoom@umass.edu ↗