London, England, United Kingdom
I am an innovative research collaborator and passionate communication expert with more than eight years of leadership and project management experience in the business and NGO sectors. I hold a master’s degree in physics from ETH Zurich and a PhD in computed tomography and machine learning from the Leiden Institute of Advanced Computer Science (LIACS) and the Centrum Wiskunde & Informatica (CWI). I have a strong foundation in both theoretical and experimental research, managing teams in academia and business, and securing funding for impactful projects. My research endeavours at CWI and previous experiences at prestigious institutions such as ETH Zurich, Stanford University, and the University of Cambridge illustrate my commitment to innovation and academic excellence. I am deeply motivated by the potential of technology to transform healthcare and improve lives, and I continually seek opportunities to bridge the gap between scientific research and practical applications. I aspire to lead projects and teams that not only advance knowledge but drive innovation in technology for outstanding personalized medical service and contribute to the greater good.
• Organized trainings (2 to 4-days long) for groups of scholarship holders, PhD students, and young professionals on rhetoric, communication, and presentation skills. • Helped more than 50 clients enhance their public speaking skills, articulate their ideas effectively, and give compelling presentations with confidence. • Provided personalized strategies for communicating with clarity, impact, and authenticity through interactive exercises on real-world scenarios. • Tailored coaching sessions to meet the individual needs and goals of each client.
The committee for nationwide tasks translates the ideas of the board into reality and develops them further. The range of tasks extends from the provision of infrastructure for the association and the discussion forums, through the development of principles for a respectful culture of debate, to the conception of innovative forms of discussion. In addition, the committee takes care of the acquisition of funds, cooperation partners, supporters and the expansion of the youmocracy network. Many members of the committee have experience in the implementation of social projects, through the foundation or management of companies or associations.
Thesis Title: 'Advancing Learned Algorithms for 2D X-ray Computed Tomography' • Initiated and coordinated collaborations with interdisciplinary research teams across seven institutions, resulting in four papers on X-ray computed tomography (CT) and machine learning (see publications) • Constructed the 2DeteCT dataset, an unprecedented X-ray CT data collection suitable for developing machine learning techniques for a wide range of CT image reconstruction tasks • Integrated the 2DeteCT dataset into LION (https://github.com/CambridgeCIA/LION, Learned Iterative Optimization Networks), an open-source Python/PyTorch toolbox for learned tomographic reconstruction developed at the Cambridge Image Analysis group; co-designed and significantly contributed to its codebase • Presented research findings at international conferences (SIAM Imaging Science 2022+2024, Inverse Problems: Modelling and Simulation 2022, Mathematics and Image Analysis 2023, TECHNART 2023), invitation-only research workshops (Banff International Research Station for Mathematical Innovation and Discovery), various group seminars (Amsterdam, Austin, Bath, Cambridge, Santiago de Chile, Utrecht), and at the Clare Hall colloquium
• Led the board of 13 PhD students, Post-Docs, and Support Staff, effectively managing a budget of 3,500€ • Broadened the participant community from mainly PhDs to a more inclusive institute-wide attendance and successfully recruited committee members from the IT and communications departments • Increased the number of larger scale events by 50%