Automation, robotics and methods from machine learning and artificial intelligence open new avenues in accelerating the way we discover materials for many sustainable applications, including energy materials (photovoltaics, solar thermal, catalysis, energy storage, carbon capture), light emission, but also medicinal drugs or fertilizers. This symposium focuses on providing a broad overview of recent developments in non-centralized self-driving laboratories and high-throughput experimentation for different applications, the creation of large material databases, and their use in redefining and accelerating the path of discovery.
- Energy Materials
- Drug Discovery
- Synthesis Robots and Automation
- High-Throughput Experimentation
- Databases
- Artificial Intelligence & Machine Learning
- Catalysis
Co-founder and CTO of the Swiss-American deep tech company Atinary Technologies that I launched in 2019, following a 2-year postdoctoral research fellowship at Harvard University, and then University of Toronto and the Vector Institute for Artificial Intelligence in Toronto.
I obtained my PhD in 2016 from Zurich and Tianjin Universities on theoretical and quantum chemistry, and on the design and optimization of high-performance computing centers, after obtaining both my Bachelor and Master at EPFL, Lausanne.
At Atinary Technologies, I started from scratch together with my co-founder. We invented and commercialized a no-code machine learning platform to optimize experiment planning and help our client across industries accelerate their R&D. As an executive and board member, I develop the business and product strategy, and build a multi-disciplinary team that shares a common passion to unleash creativity at its full potential. I lived and conducted research and business in Europe, USA, Canada, and China, which contributes to my global approach and vision.
As an entrepreneur, scientist and nature-lover, I believe in a world where science and technology contribute to accelerating the transition to a sustainable planet and a circular economy.
BEOM-SOO kim