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Marvin Sextro

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Technische Universität Berlin
Machine Learning (ML)

Marchstraße 23, 10587 Berlin
https://web.ml.tu-berlin.de/

© Sextro

Marvin Sextro

Affiliation:  BIFOLD

Hi there 👋 I'm Marvin, a PhD student in the Machine Learning Group at TU Berlin and BIFOLD, supervised by Klaus-Robert Müller. I'm also a Data Scientist at Aignostics, where I work on data-driven drug target identification.

My research lies at the intersection of generative modeling, causal inference, and computational biology with a focus on precision medicine applications and developing models that simulate single-cell response to perturbations.

Marie-Lisa Eich, Kai Standvoss, Timo Milbich, Alexander Möllers, Miriam Hägele, Philipp Anders, Lars Tharun, Hanna Kontradiuk, Sebastian Kons, Nader Aldoj, Recepcan Adigüzel, Adam Narai, Lukas Hönig, Jonathan Striebel, Binru Yang, Mihnea P. Dragomir, Marvin Sextro, Philipp Keyl, Philipp Jurmeister, Rosemarie Krupar, Evelyn Ramberger, James Wells, Julika Ribbat-Idel, Andreas Kunft, Hussam Shuaib, Christian Grohé, Reinhard Büttner, David Horst, Klaus-Robert Müller, Lukas Ruff, Maximilian Alber, Frederick Klauschen, Simon Schallenberg

LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology

August 24, 2026
https://doi.org/10.48550/arXiv.2608.23803

Alexander Möllers, Marvin Sextro, Julius Hense, Gabriel Dernbach, Klaus-Robert Müller

In-Context Multiple Instance Learning

June 04, 2026
https://doi.org/10.48550/arXiv.2606.06458

Philipp Anders, Marvin Sextro, Katja Lingelbach, Kai Standvoss, Suhas Pandhe, Sandip Ghosh, Cornelius Böhm, Stephan Tietz, Rosemarie Krupar, Lars Tharun, Marie-Lisa Eich, Julika Ribbat-Idel, Evelyn Ramberger, Xizi Liang, Verena Aumiller, Sabine Merkelbach-Bruse, Alexander Quaas, Nikolaj Frost, Georg Schlachtenberger, Matthias Heldwein, Ulrich Keilholz, Khosro Hekmat, Jens-Carsten Rückert, Reinhard Büttner, Christian Grohe, David Horst, Maximilian Alber, Lukas Ruff, Frederick Klauschen, Gabriel Dernbach, Philipp Seegerer, Simon Schallenberg

ADC target profiling in NSCLC: Generalizable AI separates TROP-2 and cMET phenotypes

May 26, 2026
https://doi.org/10.1158/1078-0432.CCR-25-4513

Marvin Sextro, Weronika Kłos, Gabriel Dernbach

MapPFN: Learning Causal Perturbation Maps in Context

January 28, 2026
https://doi.org/10.48550/arXiv.2601.21092

Marvin Sextro, Gabriel Dernbach, Kai Standvoss, Simon Schallenberg, Frederick Klauschen, Klaus-Robert Müller, Maximilian Alber, Lukas Ruff

xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer

November 12, 2024
https://ui.adsabs.harvard.edu/link_gateway/2024arXiv241107643S/doi:10.48550/arXiv.2411.07643