Research Group

Immunogenomics

Employee image

Dr. Edward Green

Teamleader

"By applying automation and machine learning, we're building platforms that scale up to meet patient needs."

A flowchart illustrating a machine learning process for predicting T cell receptor reactivity. It includes steps for input features, model training, hyper-parameter tuning, and validation. Specific tools and methods like XGBoost, Bayesian optimization, and k-fold cross-validation are highlighted, emphasizing a systematic approach to model development.

Teamleader: Edward ‘Ed’Green

Only recently have immunology questions begun to be addressed by systems biology approaches, generating enormous datasets that can be challenging to understand. The immunogenomics team is involved in implementing these cutting edge methods within the lab, and applying them to improve patient therapy and tracking within the Platten Lab’s clinical trials.  Our interests include:

  • Personalised cell therapies (applying machine learning to single-cell datasets),
  • Diagnostics (TCR repertoire analysis, NGS pipelines),
  • Synthetic Biology (high-throughput DNA manufacture and screening),
  • Cancer Vaccines (vaccine development and delivery optimisation),
  • Nanopore sequencing (accelerating patient sample analysis)

We strive to make our work accessible to other scientists; check out our recent tools at https://predicTCR.com or https://makeTCR.com.

Selected Publications

2025 -

L. Llaó-Cid et.al. 

Integrative multi-omics reveals a regulatory and exhausted T-cell landscape in CLL and identifies galectin-9 as an immunotherapy target

2024 -

Nature Biotechnology

Tan et al. Prediction of tumor-reactive T cell receptors from scRNA-seq data for personalized T cell therapy. 

2024 -

Science Advances

Boschert et al. H3K27M neoepitope vaccination in diffuse midline glioma induces B and T cell responses across diverse HLA loci of a  recovered patient. 

2024 -

Nature Medicine

Dobersalske et al. Cranioencephalic functional lymphoid units in glioblastoma. 

2023 -

Nature Medicine

Grassl et al. A H3K27M-targeted vaccine in adults with diffuse midline glioma. 

News

Team

  • Employee image

    Dr. Edward Green

    Team leader, Ed is interested in high-throughput experimentation, lab automation, and optimising therapeutic DNA vectors.

  • Employee image

    Dr. Chin Leng Tan

    PostDoc, Kyle is a master of single cell sequencing analysis as well as machine learning, bioinformatics, Linux and Immunology. Kyle holds a Hector Kick-start Early Career grant.

  • Employee image

    Marie-Therese Neuhoff

    PhD Student, Marie is interested in all things nanopore sequencing related, and is an expert on the single cell sequencing technologies. Marie is a MINT researcher partially funded by the Vector Stiftung.

  • Employee image

    Claudia Maldonado Torres

    Technical assistant, Clàudia is an experienced immunologist and molecular biologists who lends support to all our projects and keeps the lab running smoothly

  • Employee image

    Ella Kuipers

    MSc Student working with Kyle on validating unusual TCRs from GBM patients

  • Employee image

    Gyuyeon Jang

    MSc student working with Kyle on CD4 TCRs

  • Employee image

    Sara Kangani

    HiWi

  • Employee image

    Dr. Gabor Bakos

    Postdoc working on targeting cell therapy vectors

Join us

The Immunogenomics team is small and highly collaborative. We welcome applications talented MSc or PhD students with a passion for problem solving; applicants typically bring prior experience in either:

  • coding (R/Python, pipelines or developing web frontends for tools),
  • single cell analysis (10X Genomics as well as other platforms),
  • high throughput molecular biology (96 or 384 well based assays, or pooled formats),
  • T cell immunology (experience with FACS or co-culture assays),
  • NGS sequencing (Illumina, Nanopore etc)

Alumni from the team have gone on to gain positions at top institutes around the world, including Harvard, MIT, TUM, EMBL, Uni Zurich and more. 

Alumni

  • Liza Chernova – completed a MSc rotation and is now on an MSc rotation with Nobel Laureate David Baker’s lab in U.Wash.
  • Lucas Arnoldt – completed an MSc rotation and is now studying for a PhD with Fabian Theis at TUM.
  • Ivana Osredek – completed a BSc rotation and is now studying for her PhD at EMBL.
  • Maximilian Fidlin - completed a BSc rotation and went on to win a gold iGEM medal.
  • Celia Geiss – completed a BSc rotation and is now studying for her PhD the University of Zurich
  • Arianna Piffer – went on to a MSc rotation at Harvard University and now practices paediatric medicine at the Kinderspital Zürich.
  • Maksim Eremenko
  • Alina Errerd - completed an MSc rotation and is now studying for a PhD with at the University of Bonn
  • Steffi Mantz has gone on to start a PhD in the Stegle lab at the DKFZ/EMBL
  • Tamara Boschert completed her PhD (summa cum laude), winning the prize for youngest student to complete their PhD, and is now a healthcare strategy consultant
  • Saverio Pietrantonio completed his work on the makeTCR platform and is now a freelance software developer
  • Celina Schenkelberger completed her MSc rotation and is now a Product Management intern at Roche

Get in touch with us

Employee image

Dr. Edward Green

Teamleader
Form

Form data is loaded ...