Research output per year
Research output per year
Personal profile
Research interests
I joined the Fluid Biomarker Core Lab in March 2024 as an Instructor in the Department of Neurology at Washington University in St. Louis. I received a PhD in Applied Mathematics from the Courant Institute of Mathematical Sciences at New York University. Following my doctoral work, I was a postdoctoral research fellow at the Albert Einstein College of Medicine. There I applied statistical models and machine learning approaches to understand the relationship between biomarkers of Alzheimer’s disease, cognition, and disease progression. I also have worked on methods aimed at understanding AD heterogeneity as well as developing accurate diagnostic and prognostic tools for clinicians and researchers. My current interests are in understanding the relationship between AD blood-based biomarkers and cognition.
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Collaborations and top research areas from the last five years
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Measuring the efficacy of a four-year longitudinal medical school disabilities curriculum
Magence, A. E., Edwards, K., Solman, S., Wilson, J., Petersen, K. K., Sucich, M. I. & Petersen, K. H., Dec 2026, In: BMC Medical Education. 26, 1, 1139.Research output: Contribution to journal › Article › peer-review
Open Access -
Predicting onset of symptomatic Alzheimerʼs disease with plasma p-tau217 clocks
Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium Plasma Aβ and Phosphorylated Tau as Predictors of Amyloid and Tau Positivity in Alzheimer's Disease Project Team & Alzheimer’s Disease Neuroimaging Initiative (ADNI), Mar 2026, In: Nature medicine. 32, 3, p. 1085-1094 10 p.Research output: Contribution to journal › Article › peer-review
Open Access23 Link opens in a new tab Scopus citations -
The time interval from amyloid to tau PET positivity varies by age, sex and APOE-ε4 status
Alzheimer’s Disease Neuroimaging Initiative, Oct 2026, In: Journal of Prevention of Alzheimer's Disease. 13, 8, 100622.Research output: Contribution to journal › Article › peer-review
Open Access -
A Machine Learning Approach to Predict Cognitive Decline in Alzheimer Disease Clinical Trials
the Alzheimer's Disease Neuroimaging Initiative, Mar 25 2025, In: Neurology. 104, 8, e213490.Research output: Contribution to journal › Article › peer-review
Open Access7 Link opens in a new tab Scopus citations -
Assessing Stages of Objective Memory Impairment and neuroimaging as risk factors of incident cognitive impairment
Petersen, K. K., Ezzati, A., Nallapu, B. T., Lipton, R. B., Sperling, R. A., Papp, K. V., Rentz, D. M., Johnson, K. A. & Grober, E., Aug 1 2025, In: Journal of the International Neuropsychological Society. 31, 7-8, p. 490-498 9 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Scopus citations