Career
Two tracks, one trajectory.
Research began during medical school in 2017 — CAR T-cell therapy in Munich, cancer immunology in Boston — and moved into computational biology at Cambridge after graduation. Since 2024, a residency in hematology and oncology at TUM University Hospital has run alongside a PhD at the Technical University of Munich, in Fabian Theis’s lab at Helmholtz Munich.
Institutions
- TUM University Hospital
- Helmholtz Munich
- Dana-Farber · Broad Institute
- University of Cambridge
- Massachusetts General Hospital, Harvard Medical School
- LMU Munich
ClinicalCurrent
Resident physician in hematology and oncology
TUM University Hospital, Technical University of Munich, Department of Hematology and Oncology
Hematologic and solid malignancies — inpatient ward and outpatient chemotherapy unit
Resident physician in the Department of Hematology and Oncology at TUM University Hospital, rotating across the inpatient ward and outpatient chemotherapy unit and managing patients with hematologic and solid malignancies.
People
- Prof. Florian Bassermann
Highlights
- Clinical rotations across the general hematology/oncology inpatient ward and outpatient chemotherapy unit
- Diagnosis, staging, and management of a broad range of hematologic and solid malignancies
- Supervision and administration of systemic cancer therapies, including chemotherapy, immunotherapy, and targeted treatments
- Involvement in diagnostic workup, treatment planning, and longitudinal follow-up of patients
ResearchCurrent
PhD student
Helmholtz Munich, Technical University of Munich, Institute of Computational Biology
Single-cell and spatial omics · graph neural networks and transformer-based models
PhD research at the Institute of Computational Biology (Helmholtz Munich / Technical University of Munich) involving single-cell and spatial omics data analysis and the implementation and benchmarking of deep learning architectures such as graph neural networks and transformer-based models.
People
- Prof. Fabian Theis
- Prof. Florian Bassermann
- Prof. Daniel Rückert
Highlights
- Proficient in python-based single cell and spatial omics data analysis packages, such as scanpy, squidpy and scvi-tools
- Experienced in implementing multiple deep learning architectures, including Graph Neural Networks and transformer-based models, and benchmarking them against other machine learning models
- Application of machine learning frameworks, such as PyTorch, PyTorch Lightning, PyTorch Geometric, Weights and Biases and configuration managers
Methods & tools
- scanpy
- squidpy
- scvi-tools
- PyTorch
- PyTorch Lightning
- PyTorch Geometric
- Graph Neural Networks
- Transformer-based models
- Weights and Biases
Research
Master's thesis in Computational Oncology
Dana-Farber Cancer Institute and Broad Institute, Harvard Medical School
Extending a minor histocompatibility antigen (mHAg) prediction pipeline
Master's thesis project at Dana-Farber Cancer Institute and Broad Institute extending a minor histocompatibility antigen (mHAg) prediction software pipeline, including analysis of whole exome and transcriptomic data from allogeneic stem cell transplantation patient cohorts.
People
- Catherine Wu, MD
- Gad Getz, PhD
- Nicoletta Cieri, MD PhD
Highlights
- Combining deep learning models with multiple computational biology tools using workflow description language (WDL)
- Mitochondrial/nuclear variant calling for chimerism and mosaicism analysis
- Analysis and pipeline work on whole exome and transcriptomic data of allogeneic stem cell transplantation patient cohorts at Dana-Farber Cancer Institute
Methods & tools
- Workflow Description Language (WDL)
- Deep learning models
- Mitochondrial/nuclear variant calling
- Whole exome data analysis
- Transcriptomic data analysis
Scholarship
Studienstiftung scholarship for Master's thesis research stay
German Academic Scholarship Foundation (Studienstiftung) — research stay at Dana-Farber Cancer Institute and Broad Institute, USA
Education
MPhil in Computational Biology
University of Cambridge
Scientific programming, genomics, deep learning and systems biology
MPhil in Computational Biology at the University of Cambridge covering scientific programming, genomics, genome sequence analysis, deep learning, imaging, population genetics, biodesign and systems biology.
Highlights
- Completed multiple projects using Python, R and Julia
- Implemented Hidden Markov Model and inference algorithms, such as Baum-Welch and Viterbi algorithm
- Single-cell RNA-seq analysis, ChIP/ATAC-seq
- Generated supervised learning models with Tensorflow/Keras and PyTorch
Subjects
- Scientific Programming
- Genomics
- Genome Sequence Analysis
- Deep Learning
- Biological Imaging Analysis
- Population Genetics Analysis
- Biodesign
- Systems Biology
Methods & tools
- Python
- R
- Julia
- PyTorch
- TensorFlow/Keras
- Hidden Markov Models
Award
National doctoral thesis award
German Society of Hematology and Medical Oncology
Talk
Award ceremony and talk
Congress of the German, Swiss and Austrian Cancer Societies, Vienna
Scholarship
Studienstiftung scholarship for the MPhil in Computational Biology
German Academic Scholarship Foundation (Studienstiftung) — University of Cambridge, UK
Clinical
Final year rotations
Ludwig-Maximilians-Universität Munich, University of Zürich, Heidelberg University
Pediatric oncology, gastroenterology, nephrology · trauma ICU, emergency department, cardiac surgery · hematology, oncology, cardiology
Rotations
- Ludwig-Maximilians-Universität MunichPediatric Oncology, Gastroenterology, Nephrology
- University of ZürichTraumatological ICU, Accident and Emergency Department, Cardiac Surgery
- Heidelberg UniversityHematology, Oncology, Cardiology
Award
Award for outstanding grades in neuroscientific courses
LMU Munich — Neurosurgery, Neuroradiology, Neuropathology and Neurology
Award
Best Poster award
Retreat of the Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Harvard Medical School
Scholarship
Stipend of Prof. Mempel
Continuing the research project at the Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Harvard Medical School
Fellowship
International fellowship PROSA LMU and research scholarship
German Academic Exchange Service and German Academic Scholarship Foundation — research project at Massachusetts General Hospital, Harvard Medical School
Research
Research scholar
Massachusetts General Hospital, Harvard Medical School, Center for Immunology and Inflammatory Diseases
Intratumoral cytotoxic T cell migration and interactions with myeloid populations
Research scholar at the Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Harvard Medical School, as part of the medical doctoral thesis, studying intratumoral cytotoxic T cell migration and interactions with myeloid populations in cancer immunology.
People
- Thorsten Mempel, MD PhD
- Mauro Di Pilato, PhD
Highlights
- Performed single-cell RNA-seq experiments of ex vivo tumors
- Multiphoton intravital microscopy, fluorescence microscopy
- Flow cytometry of in vitro and ex vivo cells
- Collaborated with other labs, mainly performing intravital multiphoton microscopy experiments
Methods & tools
- Single-cell RNA-seq experiments
- Multiphoton intravital microscopy
- Flow cytometry
- Murine bone marrow chimeras
- Imaris
- MATLAB
- FlowJo
- Fiji
Grant
Two student grants for doctoral research
LMU Munich — material resources for the doctoral research project
Scholarship
German Academic Scholarship Foundation
Admitted as a scholar of the Studienstiftung des deutschen Volkes
Program
i-Target: Immunotargeting of cancer
Elite Network of Bavaria — international scientific program: seminars, journal clubs, workshops and conferences
ResearchSumma cum laude
Medical doctoral thesis (Doctor of Medicine)
Ludwig-Maximilians-Universität Munich, Division of Clinical Pharmacology, Department of Internal Medicine IV
Improving CAR T-cell therapy of solid tumors in preclinical models
Medical doctoral thesis research at the Division of Clinical Pharmacology, LMU Munich, aimed at improving CAR T-cell therapy of solid tumors in preclinical models.
People
- Prof. Stefan Endres
- Prof. Max Schnurr
Highlights
- Generation of CAR T cells (ex vivo T cell transduction with CAR constructs)
- Used different assays to quantify gene/protein expression of ex vivo T cells and cell lines with immunoblotting, real-time quantitative PCR, ELISA
- Performed different cell culture assays, e.g. xCELLigence or CytoTOX, for in vitro quantification of T cell killing
- Validated CAR T cell efficacy with orthotopic murine tumor models
Methods & tools
- CAR T cell generation
- Immunoblotting
- Real-time quantitative PCR
- ELISA
- xCELLigence
- Orthotopic murine tumor models
Program
FöFoLe research scholarship and doctoral program
LMU Munich — research scholarship and doctoral program (similar to MD-PhD)
Education
Medical school
Ludwig-Maximilians-Universität Munich
Preclinical studies in Ulm and Marburg (2013 – 16), clinical studies in Munich (2016 – 21)
Medical studies begun at the University of Ulm and Philipps-Universität Marburg and completed at LMU Munich, with final year rotations in Munich, Zürich and Heidelberg.
Highlights
- Graduated from LMU Munich
Course of study
- Preclinical studiesUniversity of Ulm, Philipps-Universität Marburg
- Clinical studiesLudwig-Maximilians-Universität Munich
- Final year rotationsLudwig-Maximilians-Universität Munich, University of Zürich, Heidelberg University
Clinical electives
- Dana-Farber Cancer Institute, Harvard Medical SchoolMDS/AML clinic
- FAMERP, University HospitalCardiology, Internal medicine
- Spital Graubünden (teaching hospital of the University of Zürich)General Surgery, Traumatology
- Teaching Hospitals of the Ludwig-Maximilians-Universität MunichAccident and Emergency Department, Intermediate Care Unit, Gastroenterology, Neurology