Zurich, Switzerland
STEM PhD with a strong background in quantitative modeling of complex physical systems. Data- driven experimentalist with a good grasp of theory and with know-how of modern chemical industry. A passionate leader experienced in fostering talent and sparking cross-functional collaborations. Seasoned presenter capable of explaining complex scientific problems to a non-scientific audience
• Oversaw the successful scale-up of processes from lab to manufacturing within the agrochemical industry, including implementation of technical solutions that resulted in expected savings of up to 10 million CHF per year during full-scale manufacturing • Leveraged Seeq to extract and analyse previously unavailable data during the pilot phase, enabling robust scale-up processes in production, allowing for optimal asset selection and capacity planning, ensuring more efficient and cost-effective scale transitions • Set-up predictive models for solubility predictions and applied them in making data-driven decisions to reduce the number of experiments by targeting specific conditions of interest, thus significantly speeding up the development process • Led, motivated, and nurtured talent within a team of two, demonstrating effective leadership and an emphasis on cross-functional collaboration • Managed a diverse portfolio of development and enabling science (R&D) projects, showcasing a broad skillset and the ability to handle multiple projects simultaneously • Managed a lab overseeing a budget of over 1 million CHF, demonstrating financial management skills and the ability to optimize resources • Proactively built and maintained productive relationships across all levels within and outside of the organization, contributing to improved asset allocation and savings of 100,000 CHF • Performed scale-up and scale-down simulations (Aspen, Dynochem) to avoid or troubleshoot problems at scale resulting for instance from mixing (single- and multiphase) or energy transfer (distillations, cooling crystallizations) effects
• Developed predictive models for comprehensive description of mixing-precipitation processes • Gained extensive experience in big data analytics, multivariate statistics, time series analysis, data visualization, and model-based process control using Matlab and Python • Acquired broad experience in performing computational fluid dynamics simulations of various systems • Gained extensive experimental experience in planning and performing of crystallization processes (batch and continuous) • Supervised a total of 10 students with up to 3 students at a time involved in different projects • Collaborated in projects with 3 different multinational chemical and pharmaceutical companies • Presenting participant in 9 international conferences
• Gained experience in multiple methods of concentration monitoring • Developed a model of a crystallization process using a population balance model • Participated in performing tests, choosing and introducing a new ATR-FTIR spectrometer • Gained experience in working in a complex environment of a leading, international company
• Gained experience in modeling of various processes (precipitation, crystallization, coagulation)