Columbia University in the City of New York · Mathematics & StatisticsAlzheimer's Risk Analytics Lab
Linda Valeri · New York, New York
Research Focus
Dr. Linda Valeri's lab at Columbia University focuses on using advanced statistical techniques to understand the causes of Alzheimer's Disease and related disorders (ADRD). The research aims to develop new methods for analyzing how various environmental factors and health conditions affect the risk of ADRD over time. By utilizing large cohort studies and sophisticated Bayesian machine learning approaches, the lab seeks to provide insights that can inform prevention strategies and health policies.
Bayesian statisticsAlzheimer's diseasecausal inferenceenvironmental exposureshealth disparities
Research Aims
3AIM 01Develop Bayesian machine learning methods for causal mediation analyses.
AIM 02Analyze the impact of hypertension and cardiovascular disease on ADRD risk.
AIM 03Create user-friendly software tools for widespread application of the research methods.
Skills the Lab Values
Bayesian machine learningR programminglongitudinal data analysisstatistical modelingcohort study design
Output against the department
Publications200bottom 43% of dept.75th of 131
this lab
most publishedleast published
Citations9.8ktop 40% of dept.53rd of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.