University of Michigan-Ann Arbor · Biomedical EngineeringDraelos Lab
Anne Watson Draelos · Ann Arbor, Michigan
Research Focus
Dr. Anne Watson Draelos’s lab focuses on understanding the factors that contribute to cognitive resilience in Alzheimer’s disease through innovative machine learning techniques. By analyzing various types of biological and environmental data, the lab aims to uncover dynamics that influence how individuals age cognitively and how this knowledge can lead to new therapeutic strategies. The research integrates complex models to not only identify key factors but also test interventions based on predicted results, making the process of validating hypotheses faster and more efficient.
machine learningAlzheimer's diseasecognitive resiliencebig datagenerative modelingprobabilistic modeling
Research Aims
3AIM 01Develop multimodal variational autoencoder models to understand cognitive resilience factors in Alzheimer's disease.
AIM 02Incorporate Bayesian layers for iterative updates with new data and generate testable hypotheses.
AIM 03Validate latent factors through genetic engineering in diverse AD mouse models.
Skills the Lab Values
multimodal data analysisBayesian analysismachine learning algorithmsgenetic engineeringanimal modelsdata visualizationPython programmingvariational autoencodersstatistical modeling
Output against the department
Publications1bottom 1% of dept.593rd of 595
this lab
most publishedleast published
Citations0bottom 1% of dept.591st of 595
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.