Source: HMGU

Marius Lange
PhD candidate

Phone: 0049 178 8842 855
Building/Room: 58a Raum 009


Curriculum Vitae

since 10/2017

PhD candidate in Mathematics at Technical University of Munich (TUM), Munich Center for Machine Learning (MCML) and Computational Health Department of Helmholtz Zentrum München.

10/2016 - 09/2017MSc in Mathematical Modelling and Scientific Computing at the University of Oxford, focus on optimisation and machine learning, graduated with distinction.
10/2013 - 09/2016BSc in Physics at the University of Freiburg, focus on theoretical physics and systems biology.

if you are interested in collaborating. 


Research Interests

I am interested in describing cellular development on a gene expression level using tools from machine learning. To this end, I work both on applied projects which seek to uncover novel biological insights as well as on methodological projects which aim at strengthening our tool set. On the applied side, I work on projects in direct neuronal reprogramming as well as thymic development and regeneration in collaboration with experimental labs from Munich and Boston. On the methodological side, I seek to incorporate novel experimental developments into trajectory inference algorithms in order to describe cellular trajectories more accurately. The algorithms I develop are based on unsupervised machine learning techniques including deep learning. 



My PhD position is funded through the Munich Center for Machine Learning. Additionally, I was awarded an add-on fellowship for interdisciplinary life sciences by the Joachim Herz Stiftung and an Otto Bayer scholarship by the Bayer Foundations. Further, I am a member of the Graduate School of Quantitative Biosciences Munich (QBM) as well as the graduate school HELENA of Helmholtz Zentrum München. 


Selected Publications

  • Erhard, F., Baptista, M. A., Krammer, T., Hennig, T., Lange, M., Arampatzi, P., ... & Dölken, L. (2019). scSLAM-seq reveals core features of transcription dynamics in single cells. Nature, 571(7765), 419-423.
  • Tritschler, S., Büttner, M., Fischer, D. S., Lange, M., Bergen, V., Lickert, H., & Theis, F. J. (2019). Concepts and limitations for learning developmental trajectories from single cell genomics. Development, 146(12), dev170506.
  • Cartis, C., Gould, N. I., & Lange, M. (2019). On monotonic estimates of the norm of the minimizers of regularized quadratic functions in Krylov spaces. BIT Numerical Mathematics, 1-7.


External Links