Computational & Systems Biology

AJ Book

Research Assistant, Memorial Sloan Kettering Cancer Center

I study how inflammatory, age-associated, and treatment history shape immune and tissue states. My work combines quantitative imaging, single-cell and spatial genomics, and interpretable modeling to recover biological state from sparse human data.

At MSK, I develop imaging-derived host phenotypes and connect them to immune, genomic, treatment, and outcome data. My M.S. thesis at Johns Hopkins focused on regulatory progression from cross-sectional spatial and single-nucleus transcriptomics.

M.S. Bioinformatics, Johns Hopkins University (2026) · B.A. Biochemistry, Yeshiva University (2023)

Portrait of AJ Book

Current work

Selected research

Selected projects that represent my work in quantitative imaging, regulatory genomics, and systems biology.

Research overview →
Thoracic CT views showing voxel-level posterior estimates of thymic tissue composition from HostBio Comp-MRF
Voxel-level posterior mapping of thymic tissue composition from routine thoracic CT.

Method development · MSK

HostBio / Comp-MRF

I conceived and engineered HostBio, an interpretable probabilistic framework for recovering host-tissue composition from routine CT. The framework is implemented for MSK clinical research and has been evaluated across 1,078 patients in four independent NSCLC cohorts, including randomized RTOG-0617, using immune, genomic, treatment, toxicity, response, and survival data.

1,078 patients · 4 NSCLC cohorts · randomized trial data

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StageBridge regulatory landscape over premalignant epithelial states
Model-supported regulatory-field geometry over observed AAH/AIS epithelial states. Click to explore StageBridge.

M.S. thesis · Johns Hopkins

StageBridge

I developed StageBridge to test what aspects of epithelial progression can be inferred from cross-sectional spatial and single-nucleus transcriptomics. A hidden recoverability failure led me to reformulate the model around conditional transport, improving transition recoverability from 0.27 to 0.84; external PanIN testing returned a calibrated null where the data did not support reliable transition structure.

Recoverability 0.27 → 0.84 · donor-held-out testing · calibrated external null

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Published secondary lymphedema figure showing epidermal inflammatory remodeling and cell-specific PAR2 biology
Published work on epidermal inflammatory remodeling and PAR2 biology in secondary lymphedema.

Published collaborative research · MSK

Secondary lymphedema

My published work with the Mehrara laboratory includes a peer-reviewed study of keratinocyte and PAR2 biology in secondary lymphedema and a systems-level review of how omics approaches are reshaping the field.

Clinical and Translational Medicine · Frontiers in Immunology · 2026

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Selected outputs

Publications & manuscripts

Full publication record →