Education
- Ph.D in Medical Ultrasound Imaging, Eindhoven University of Technology and Philips Research, 2025 (expected)
- MSc in Electrical Engineering, Eindhoven University of Technology, 2021
- Specialization in Signal Processing Systems
- Graduation project: Deep Reinforcement Learning for High-Definition Intravascular Ultrasound
- BSc in Electrical Engineering, Eindhoven University of Technology, 2019
- End project: CFAR detector for radar based on Neural Networks.
Work experience
Nov. 2021 – Ongoing: Ph.D. candidate in Medical Imaging, Deep Learning
- Eindhoven Univeristy of Technology (TU/e), Eindhoven, the Netherlands
- Artificial Intelligence for High Quality Medical Ultrasound Imaging.
- Joined project with Philips and e/MTIC.
- Department of Electrical Engineering, Signal Processing Systems, BM/d Lab [link]
Jan. 2023 – Aug. 2023: Image Processing & Algorithm Development Intern
- Philips Research, Cambridge (Boston), Massachusetts, USA
- Project: Ultrasound dehazing in cardiac imaging
Dec. 2020 – Sept. 2021: Research Intern
- Philips Research, Eindhoven, High Tech Campus
- Project: Deep Reinforcement Learning for High-Definition Intravascular Ultrasound
Aug. 2020 – Nov. 2020: Research Intern
- Eindhoven University of Technology (TU/e)
- Information and Communication Theory Lab [link]
- Project: Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection
May 2019 – July 2020: Electrical Engineer
- Lightyear (Dutch solar car company) [link]
- Design of solar inverter test setup.
- Software development for in-wheel motor test system.
- Assisted wiring of first prototype solar car.
Research areas
- Medical imaging
- Ultrasound
- Probabilistic machine learning
- Deep learning
- Reinforcement learning
- Generative models
- Signal processing
- Adaptive array processing