Author

Susan V. Pollak

Columbia University Irving Medical Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Renu NandakumariD· 2 shared Anne‐Catrin UhlemanniD· 1 shared Aya Brown KaviD· 1 shared Brian M. Mercer· 1 shared Charles C. WhiteiD· 1 shared Daniel S. ReichiD· 1 shared David M. HaasiD· 1 shared Erin WattersiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersImmunology

Renu NandakumarORCID

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2 papers

Recent·Most cited

Evaluation of potential serum analytes for individuals at-risk of multiple sclerosis

Kristin Mounts, Yunduo Liu, Masashi Fujita, Juliana Oyegunle, Tradite Neziraj, Susan V. Pollak, Renu Nandakumar, Nyater Ngouth, Sonya U. Steele, Irene C. M. Cortese, Charles C. White, Steven Jacobson, Daniel S. Reich, Philip L. De Jager

This study evaluates six potential serum biomarkers for multiple sclerosis in at-risk individuals and finds most are not robust predictors, though SPP1 shows a significant inverse correlation with genetic risk.

bioRxiv · Apr 29, 2026 · PreprintImmunology

Early prediction of preeclampsia using the first trimester vaginal microbiome

William F. Kindschuh, George I. Austin, Yoli Meydan, Heekuk Park, Julia A. Urban, Erin Watters, Susan V. Pollak, George Robert Saade, Judith M. Chung, Brian M. Mercer, William A. Grobman, David M. Haas, Robert M. Silver, Myrna G. Serrano, Gregory A. Buck, , Tal Korem

This study predicts preeclampsia using first trimester vaginal microbiome data with machine learning, achieving an auROC of 0.78 in the training set and 0.80 in an independent cohort.

bioRxiv · Dec 1, 2024 · PreprintMicrobiology