Marvin 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.
Alexander Möllers, Marvin Sextro, Julius Hense, Gabriel Dernbach, Klaus-Robert Müller
In-Context Multiple Instance Learning
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
Marvin Sextro, Weronika Kłos, Gabriel Dernbach
MapPFN: Learning Causal Perturbation Maps in Context
Marvin Sextro, Gabriel Dernbach, Kai Standvoss, Simon Schallenberg, Frederick Klauschen, Klaus-Robert Müller, Maximilian Alber, Lukas Ruff