Christoph Clement

Munich, Bavaria, Germany

I am a Machine Learning Engineer at Khumbu, where I leverage cutting-edge AI models for drug discovery with an initial focus on diabetes. I recently completed my PhD in Biomedical Engineering at the University of Bern, complemented by research on PET foundation models at Harvard Medical School.

My research focuses on applying deep learning and medical imaging analysis to solve significant healthcare challenges. During my PhD, I developed innovative approaches for high-resolution Organ-on-Chip imaging, interpreted tau-PET brain scans for neurodegenerative diseases, and advanced CT-free total-body PET segmentation. My visiting research position at the Center for Advanced Medical Computing and Analysis (CAMCA) at Harvard Medical School allowed me to work on foundational models for PET/CT imaging under the supervision of Dr. Quanzheng Li.

I hold a Master’s degree in Robotics, Cognition, and Intelligence from the Technical University of Munich (TUM), where I specialized in computer-aided medical procedures, computer vision, and deep learning. I also completed an honors degree in Technology Management at the Center for Digital Technology and Management (CDTM), combining technical expertise with entrepreneurial skills.

Previously, I worked on deepfake detection at TUM’s Visual Computing Group in collaboration with the AI Foundation, and gained industry experience as a Data Science Trainer at Celonis, where I delivered hands-on workshops across Europe. I am passionate about translating research into practical applications that improve patient care and diagnostic techniques.

selected publications

iScience

Improved Interpretation of 18F-Florzolotau PET in Progressive Supranuclear Palsy Using a Normalization-Free Deep-Learning Classifier

J. Lu, C. Clement, J. Hong, and 18 more authors

iScience, 2023

Bib

@article{lu2023improved,
  title = {Improved Interpretation of 18F-Florzolotau PET in Progressive Supranuclear Palsy Using a Normalization-Free Deep-Learning Classifier},
  author = {Lu, J. and Clement, C. and Hong, J. and Wang, M. and Li, X. and Cavinato, L. and Yen, T.-C. and Jiao, F. and Wu, P. and Wu, J. and Ge, J. and Sun, Y. and Brendel, M. and Lopes, L. and Rominger, A. and Wang, J. and Liu, F. and Zuo, C. and Guan, Y. and Zhao, Q. and Shi, K.},
  journal = {iScience},
  volume = {26},
  number = {8},
  pages = {107426},
  year = {2023},
  publisher = {Elsevier},
}

JNM

Dynamic Imaging of Organs-on-Chips Using a Dedicated PET Scanner: A Simulation Study

C. Clement, G. Birindelli, M. Pizzichemi, and 7 more authors

Journal of Nuclear Medicine, 2023

Bib

@article{clement2023dynamic,
  title = {Dynamic Imaging of Organs-on-Chips Using a Dedicated PET Scanner: A Simulation Study},
  author = {Clement, C. and Birindelli, G. and Pizzichemi, M. and Pagano, F. and Kruithof-De Julio, M. and Ziegler, S. and Rominger, A. and Qiu, H. and Auffray, E. and Shi, K.},
  journal = {Journal of Nuclear Medicine},
  volume = {64},
  number = {supplement 1},
  pages = {P1467},
  year = {2023},
  publisher = {Society of Nuclear Medicine},
}

EJNMMI Phys

Concept Development of an On-Chip PET System

C. Clement, G. Birindelli, M. Pizzichemi, and 6 more authors

EJNMMI Physics, 2022

Bib

@article{clement2022concept,
  title = {Concept Development of an On-Chip PET System},
  author = {Clement, C. and Birindelli, G. and Pizzichemi, M. and Pagano, F. and Kruithof-De Julio, M. and Ziegler, S. and Rominger, A. and Auffray, E. and Shi, K.},
  journal = {EJNMMI Physics},
  volume = {9},
  number = {1},
  pages = {38},
  year = {2022},
  publisher = {Springer},
}