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Donnacha Fitzgerald

Donnacha Fitzgerald

Computational biologist applying AI to cell design and single‑cell oncology

DN_Fitzgerald
Heidelberg, Germany
San Francisco, California
Joined October 2025

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Summary

Computational biologist combining single‑cell multi‑omics, spatial profiling and machine learning to study tumor evolution and cellular differentiation; PhD work and associated papers demonstrate a program of research showing differentiation drives intratumor heterogeneity in B‑cell lymphomas and produced public data and code. uni-heidelberg+2
Founder and community builder focused on translating science to impact: co‑founded Nucleate Germany to support student biotech entrepreneurship and launched PROMETHEUS to promote impact‑driven science and better allocation of research effort and funding. donnachafitzgerald+1
Trained pharmacist who moved from clinical and regulatory roles into research and computational biology — brings regulatory awareness and translational perspective to biomedical and AI‑driven cell engineering projects. donnachafitzgerald+1
Public-facing researcher with open-science practices: maintains a personal website, ORCID and Google Scholar profile, releases code accompanying atlas work, and engages in outreach and public discussion on research impact and ethics. donnachafitzgerald+2

Work

Education

Projects

Writing

PhD thesis: Tumor Evolution through Differentiation in B-cell Lymphomas

March 1, 2024

Doctoral dissertation summarizing the experimental and computational research showing differentiation-driven intratumor heterogeneity in B-cell lymphomas; methods, analyses, and implications for diagnosis and therapy.

Favicon imagearchiv.ub.uni-heidelberg.de

A single-cell multi-omic and spatial atlas of B-cell lymphomas reveals differentiation drives intratumor heterogeneity

November 1, 2023

Preprint and dataset describing a cross-entity single-cell and spatial atlas of nodal B-cell lymphomas, showing that intratumor heterogeneity is driven by differentiation states; includes CITE-Seq, CODEX spatial imaging, and survival deconvolution analyses.

Favicon imagebiorxiv.org

Peer‑reviewed and collaborative publications (selected)

Contributions to multiple collaborative papers arising from EMBL projects linking single-cell and spatial profiling to cancer biology (see ORCID / Google Scholar for full list).

Favicon imageorcid.org

Multimodal and spatially resolved profiling identifies distinct patterns of T cell infiltration in nodal B cell lymphoma entities

March 1, 2024

Multimodal and spatial atlas study profiling T cell infiltration across nodal B-cell lymphoma entities, revealing quantitative and spatial aberrations in the tumor microenvironment.

Favicon imagenature.com

Polatuzumab vedotin as a salvage and bridging treatment in relapsed or refractory large B-cell lymphomas

July 1, 2021

Clinical study evaluating polatuzumab vedotin as salvage and bridging therapy for relapsed/refractory large B-cell lymphoma, reporting efficacy and safety outcomes.

Favicon imagepubmed.ncbi.nlm.nih.gov

Aggressive Lymphoma after CD19 CAR T-Cell Therapy

October 1, 2024

Clinical analysis of aggressive lymphoma occurrences following CD19 CAR T-cell therapy, examining patient outcomes and implications for treatment strategies.

Favicon imagenejm.org

Functional phenotyping of genomic variants using joint multiomic single-cell DNARNA sequencing

September 1, 2025

Methodological paper describing joint single-cell DNA–RNA sequencing to link genomic variants to functional phenotypes, enabling functional interpretation of variants at single-cell resolution.

Favicon imagenature.com

Ex vivo drug response profiling for response and outcome prediction in hematologic malignancies: the prospective non-interventional SMARTrial

October 1, 2023

Prospective study demonstrating ex vivo drug response profiling as a tool to predict chemotherapy response and outcomes in hematologic malignancies.

Favicon imagenature.com

Hobbies

Expanding my horizons through reading, traveling, food and music.