Publications & Awards

Curated work with plain-English summaries so collaborators, clinicians, and students can grasp the impact quickly.

Single cell-resolution in situ sequencing reveals spatial dynamics of H3K27M-mutated diffuse midline gliomas and identifies myeloid-tumor cell interactions

In preparation - 2024

High-resolution CosMx sequencing ties myeloid neighborhoods to H3K27M tumor evolution during GD2-CAR therapy.

Role: Co-led spatial inferences and CAR T response analytics.

Pre-infusion biomarker classifier predicts lymphoma response and toxicity after CAR T cell

In preparation - 2024

Multi-cohort biomarker signature that stratifies outcomes prior to CAR T infusion in lymphoma.

Role: Designed the machine learning stack and prospective validation pipeline.

CCL8/CCL13-producing tumor-associated macrophages linked to poor outcomes after CAR T cell therapy for LBCL

Blood 144(Suppl. 1) · Cancer Cell (submitted) - 2024

Connects chemokine-driven macrophage states with post-infusion CAR T failure and charts intervention points.

Role: Led the single-cell integration and interactome modeling.

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Unraveling temporal dynamics of GD2-CAR T cell therapy in H3K27M-mutant diffuse midline glioma through single-cell and multi-omic profiling

In preparation - 2024

Joint single-cell, spatial, and serum proteomic monitoring across GD2-CAR therapy.

Role: Architected longitudinal data model and multi-omic harmonization.

Humanized anti-CAR antibodies affects durable GD2 CAR T cell response in diffuse midline glioma

Neuro-Oncology (submitted) - 2025

Characterizes anti-CAR immune responses that influence durability of GD2-CAR therapy in pediatric brain tumors.

Role: Led computational analysis of antibody repertoires and survival associations.

Multiple instance learning identifies perturbation targets poised to improve clinical outcomes after CD19-CAR therapy for large B cell lymphoma

In preparation - 2024

Weakly supervised learning reveals cell states to target for durable CD19-CAR responses.

Role: Developed the MIL framework and interpretability tooling.

Patient-level prediction from single-cell data using attention-based multiple instance learning

NeurIPS 2025 (in review) - 2025

Attention-based MIL links diagnostic single-cell data to clinical outcomes for CAR T therapy.

Role: Driving methodology and benchmarking across multi-site datasets.

Overcoming T cell tolerance to tumor self-antigens through catch-bond engineering

Science (in review) - 2025

Catch-bond receptor engineering strategy that rescues self-antigen recognition for solid tumors.

Role: Contributed translational analytics on engineered T cell persistence.

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Pan-hematologic cancer predictive biomarkers for chimeric antigen receptor T-cell therapy

Nature Biomedical Engineering (in review) - 2024

Cross-indication biomarker atlas forecasting efficacy across hematologic CAR programs.

Role: Built the harmonized feature store and calibration pipelines.

Spatial transcriptomics analysis of glioblastoma reveals three distinct regional programs of T-cell infiltration

Neuro-Oncology 26(Suppl. 8) viii12 - 2024

Maps immune niches across glioblastoma and highlights infiltration programs for intervention.

Role: Delivered spatial statistics and visual analytics for the abstract.

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CD22-targeted CAR T cell single cell multiomic features linked to immune effector cell-associated hemophagocytic lymphohistiocytosis-like syndrome

Blood 144(Suppl. 1) - 2024

Multiomic signatures that anticipate IEC-HLH-like toxicities after CD22-CAR therapy.

Role: Co-developed the multiomic analysis and toxicity classifier.

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Biomechanical analysis of swallow-induced primary peristalsis in patients with EGJOO

Gastroenterology 160(6 Suppl. 1) S-102 - 2021

Quantified esophageal mechanics to differentiate EGJOO phenotypes using high-resolution manometry.

Role: Implemented the biomechanics pipeline and visualization suite.

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