Short Biography

• Studies in Mathematics and Political Science at Heidelberg University (2008-2013).
• From 2013 to 2015, I was a lecturer in Mathematics at the Institute of Pharmacy and Molecular Biotechnology (IPMB) at Heidelberg University.
• Since November 2014, I've been working as a research associate at the Engineering Mathematics and Computing Lab (EMCL) at IWR, Heidelberg University.
• In October 2019, I joined the research group Data Mining and Uncertainty Quantification (DMQ) at HITS as a research associate.

Research Interests

• Biomedical Image Analysis
• Artificial Intelligence & Deep Learning
• High Performance Computing
• Hardware-Aware Computing
• Uncertainty Quantification
• Computational Geometry

Projects

• Biomedisa: The Biomedical Image Segmentation App
• KIPROSPER: Artificial Intelligence in the Prognosis and Control of Health-related Personnel Risks
• NOVA: Network for Online Visualization and synergistic Analysis of Tomographic Data
• ASTOR: Arthropod Structure revealed by ultrafast Tomography and Online Reconstruction

Teaching

• Teaching assistant for Numerical Methods for Ordinary Differential Equations (summer term 2020)
• Teaching assistant for Introduction to Numerics (winter term 2019/2020)
• Lecturer in Mathematics for Molecular Biotechnology (winter term 2013/14, summer term 2014, winter term 2014/15)
• Lecturer in Mathematical and Statistical Methods for Pharmacy (winter term 2013/14)

Publications

• van de Kamp T, Schwermann AH, dos Santos Rolo T, Lösel PD, Engler T, Etter W, Faragó T, Göttlicher J, Heuveline V, Kopmann A, Mähler B, Mörs T, Odar J, Rust J, Tan Jerome N, Vogelgesang M, Baumbach T, Krogmann L
  Parasitoid biology preserved in mineralized fossils
  Nature Communications , vol 9, Article number: 3325, doi:10.1038/s41467-018-05654-y, 2018.
• Gawlok S, Gerstner P, Haupt S, Heuveline V, Kratzke J, Lösel P, Mang K, Schmidtobreick M, Schoch N, Schween N, Schwegler J, Song C and Wlotzka M
  HiFlow3 – Technical Report on Release 2.0
  Preprint Series of the Engineering Mathematics and Computing Lab , [S.l.], No 06, doi:10.11588/emclpp.2017.06.42879, 2017.
• Mexner W, Bonn M, Kopmann A, Mauch V, Ressmann D, Chilingaryan SA, Jerome NT, van de Kamp T, Heuveline V, Lösel P, Schmelzle S and Heethoff M
  OpenGL® API-Based Analysis of Large Datasets in a Cloud Environment
  in: Das PK and Deka GC (eds) Design and Use of Virtualization Technology in Cloud Computing, pp. 161-181, Hershey, PA: IGI Global, doi:10.4018/978-1-5225-2785-5.ch006, 2017.
• Schmelzle S, Heethoff M, Heuveline V, Lösel P, Becker J, Beckmann F, Schluenzen F, Hammel JU, Kopmann A, Mexner W, Vogelgesang M, Jerome NT, Betz O, Beutel R, Wipfler B, Blanke A, Harzsch S, Hörnig M, Baumbach T and van de Kamp T
  The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data
  Proc. SPIE 10391, Developments in X-Ray Tomography XI , 103910P, doi:10.1117/12.2275959, 2017.
• Lösel P and Heuveline V
  A GPU Based Diffusion Method for Whole-Heart and Great Vessel Segmentation
  in: Zuluaga M, Bhatia K, Kainz B, Moghari M and Pace D (eds) Reconstruction, Segmentation, and Analysis of Medical Images. Lecture Notes in Computer Science, vol 10129, Springer, Cham, doi:10.1007/978-3-319-52280-7_12, 2017.
• Lösel P and Heuveline V
  Enhancing a diffusion algorithm for 4D image segmentation using local information
  Proc. SPIE 9784, Medical Imaging 2016: Image Processing , 97842L, doi:10.1117/12.2216202, 2016.

Invited Talks

• Fast synchrotron X-ray imaging and semi-automated analysis of extant and fossil insects
  BASF, Ludwigshafen, April 19, 2018, on invitation by Dr. Paul Birnbrich.
• The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data
  Helmholtz-Zentrum Geesthacht GEMS Outstation: Materials Research and High Resolution Imaging, DESY Photon Science Users' Meeting, Hamburg, January 25, 2018, on invitation by Dr. Christina Krywka.
• Biomedisa: The Biomedical Image Segmentation App
  Scientific Seminar Series, Imaging Group, IPS, KIT, Karlsruhe, May 9, 2017, on invitation by Dr. Thomas van de Kamp.
• Biomedisa: The Biomedical Image Segmentation App
  9. Graduiertenforum der DZG Fachgruppe Morphologie, Karlsruhe, October 14, 2016, on invitation by Dr. Thomas van de Kamp.

Conference contributions and talks

• Biomedisa: 30 million-year-old fossils come back to life
  HeKKSaGOn University Consortium, The 7th German – Japanese University Presidents’ Conference, Heidelberg, September 12-13, 2019.
• Biomedisa: Fast and Accurate Segmentation of Fossil Insects from Synchrotron X-ray Microtomography Images
  13th World Congress in Computational Mechanics, New York City, USA, July 22-27, 2018.
• Biomedisa: 30 million-year-old fossils come back to life
  HITS Lab Meeting, Heidelberg, January 8, 2018.
• Biomedisa: The Biomedical Image Segmentation App
  110. Jahrestagung der Deutschen Zoologischen Gesellschaft, Bielefeld, September 13, 2017.
• Biomedisa: The Biomedical Image Segmentation App
  3rd International Conference on Tomography of Materials and Structures, Lund, Sweden, June 29, 2017.
• Biomedisa: The Biomedical Image Segmentation App
  HITS Scientific Seminar Series, Heidelberg, February 13, 2017.
• Biomedisa: The Biomedical Image Segmentation App
  12. Modellierungstag Rhein-Neckar, HGS MathComp, Heidelberg, December 8, 2016.
• A GPU Based Diffusion Method for Whole-Heart and Great Vessel Segmentation
  19th International Conference on Medical Image Computing and Computer Assisted Intervention, Athens, Greece, October 17, 2016.
• The NOVA Project and The Biomedical Image Segmentation App
  DZG Workshop on Engineering tools in morphology, Kiel, September 13, 2016.
• Enhancing a Diffusion Algorithm for 4D Image Segmentation Using Local Information
  SPIE Medical Imaging, San Diego, USA, Februray 27, 2016.