CV

Education

• PhD in Biomedical Engineering, Jan. 2021 - present
  • University of Bern, Graduate School for Cellular and Biomedical Sciences (GCB), Bern, Switzerland
  • Supervisor: Prof. Dr. ing. Kuangyu Shi
  • Main project: Development of a small-scale system capable of imaging Organs-on-Chips
• Honours Degree in Technology Management, Aug. 2019 - present
  • Center for Digital Technology & Management (CDTM), Munich, Germany
  • Courses: Trend Seminar, Managing Product Development, Interface Aesthetics, Self Leadership Backbone
• M.Sc. Robotics, Cognition, Intelligence, Oct. 2018 - Oct. 2020
  • Technical University of Munich (TUM), Munich, Germany
  • Master’s Thesis at Inselspital Bern: Predict Gamma Ray Interaction Position in Scintillation Material Using Deep Learning
  • Courses: Computer Aided Medical Procedures I \& II, Computer Vision, Machine Learning, Advanced Deep Learning
• B.Sc. Engineering Science, Aug. 2014 - Sep. 2018
  • Technical University of Munich (TUM), Munich, Germany
  • Bachelor’s Thesis: Autonomous locomotion control for a snake like robot
  • Courses: Higher Mathematics, Algorithms, Operating Systems, Computer Networking

Publications

Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector

C. Clement et al., "Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector," 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 3366-3369, doi: 10.1109/EMBC46164.2021.9630934.

Concept development of an on-chip PET system

Clement, C., Birindelli, G., Pizzichemi, M. et al. Concept development of an on-chip PET system. EJNMMI Phys 9, 38 (2022). https://doi.org/10.1186/s40658-022-00467-x

Talks

Predicting Gamma-Ray Interaction Positions for the Development of an On-Chip PET System Using Deep Learning

April 15, 2021

Oral Presentation at Congress of the German Society of Nuclear Medizin, Virtual

Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector

November 02, 2021

Oral Presentation at 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Virtual

Concept Development of an On-Chip PET System

April 29, 2022

Oral Presentation at Congress of the German Society of Nuclear Medizin, Leipzig, Germany

Development of a PET System Capable of Imaging Organs-on-Chips

October 16, 2022

Oral Presentation at 35th Annual Congress of the European Association of Nuclear Medicine, Barcelona, Spain

Deep Learning-based Classification Improves Clinical Interpretation of [18F]florzolotau Tau PET Imaging

October 16, 2022

Oral Presentation at 35th Annual Congress of the European Association of Nuclear Medicine, Barcelona, Spain

Professional Experience

• Research Assistant for Deepfake Video Detection, Oct. 2019 - Mar. 2020
  • TUM Visual Computing & Artificial Intelligence Group (Prof. Matthias Nießner), Munich, Germany
  • Built a Deepfake detector browser plugin in collaboration with the AI Foundation using PyTorch
  • Responsible for video preprocessing, continuous integration and training of models
• Data Science Trainer, Oct. 2018 - Sep. 2019
  • Celonnis, Munich, Germany
  • Gave several hands-on workshops to customers all over Europe
  • Received high rating feedback from customers
• Junior Data Scientist, Aug. 2018 - Oct. 2018
  • Celonnis, Munich, Germany
  • Implemented enterprise process mining software at a multinational company
  • Extracted and transformed customer process data and created customer-specific analyses using SQL and SAP HANA
• Test and Data Engineer, Jan. 2017 - Jul. 2018
  • tacterion, Munich, Germany
  • Planned, constructed, and programmed testing rig and automated data sheet creation process using C++ and Python
  • Supported preparation and implementation of ISO 9001:2015
  • Developed Machine Learning gesture recognition using Tensorflow
• Robotics Engineer, Oct. 2016 - Dec. 2016
  • Blue Ocean Robotics, Munich, Germany
  • Built and programmed Festo Robotino robot with an arm with 5 degrees of freedom
  • Robot used as a demonstrator for 5G networking technology on fairs

Projects

• DataDoc - Digitize the patient handover in hospitals, Apr. 2020 - Dec. 2020
  • Analyzed problem through user interviews and research
  • Developed functional prototype that is tested in a hospital using Django and React
• COMPLAI ‑ Regulatory Intelligence Platform, Oct. 2019 - Mar. 2020
  • Conducted market research and customer interviews that lead to insights for prototype development
  • Developed a web crawler and NLP analytics for various regulatory sources using Python
  • Programmed front-end using Angular

Extracurricular Activities

• Chairman - Schülerpaten München e.V., Apr. 2018 - Present
  • Initiated setup process for non-profit organization that arranges one-to-one tutoring for immigrant students
  • Responsible for team organization, finances, and consultation with parent organization
• Member of the organizing team - Effective Altruism Munich, Feb. 2017 - Oct. 2019
  • Organized workshops, social meetups, and talks for up to 50 people

Skills

• Programming: Python, C++, Java, C, SQL
• Scientific Python: NumPy, OpenCV, Pandas
• Deep Learning: PyTorch, Tensorflow, Keras
• Web Development: Django, Angular, React
• Software Engineering: OOD, Scrum, Git, CI
• Entrepreneurship: Project Management, Customer interviews, Prototyping, Pitching
• Business Analytics: Celonis, SAP HANA
• Languages: German (native), English (fluent), French (basic)