My research work connects the fields of physics, engineering, and machine learning. I try to accelerate the development of new technologies by combining machine learning, laboratory automation, and traditional scientific methods in a suitable way. This allows us to respond more effectively to global challenges facing us, specifically to the climate change.
I received my D. Sc. (Tech.) degree from Aalto University in 2018. I worked in Prof. Peter Lund’s group on the long term stability of third generation solar cells (dye and perovskite solar cells). In 2019-2021, I worked with topics of applied machine learning at Massachusetts Institute of Technology in the USA in Prof. Tonio Buonassisi’s group. In 2021, I returned to Aalto University to work in Prof. Patrick Rinke’s group. In my current work, I apply machine learning methods on new materials and molecules. I am specifically interested in the long-term stability of perovskite materials and in reliable probabilistic machine learning methods.
I tell about my new research publications in Twitter (@TiihonenArmi) and a list of my publications (many of which are open access) is available via Google Scholar: https://scholar.google.fi/citations?user=0pLOTKcAAAAJ&hl=en