Tuomas Tölli
About Tuomas Tölli
Tuomas Tölli is a Senior Computer Vision Engineer at Varjo, with extensive experience in high-performance computing and a focus on medical technology. He has held various research and engineering positions, including roles at Varian Medical Systems and Aalto University, and has a strong background in computer vision, deep learning, and cloud computing.
Current Role at Varjo
Tuomas Tölli serves as a Senior Computer Vision Engineer at Varjo, a position he has held since 2019. In this role, he focuses on the development of advanced computer vision solutions. His work is integral to enhancing the capabilities of Varjo's products, which are known for their high fidelity in visual technology.
Previous Experience at Varian Medical Systems
Before joining Varjo, Tuomas Tölli worked at Varian Medical Systems as a Research Scientist from 2015 to 2019. His role involved significant contributions to projects related to medical technology, where he applied his expertise in high-performance and parallel computing.
Educational Background
Tuomas Tölli has a diverse educational background. He earned a Master's Degree in Biomedical/Medical Engineering from Teknillinen korkeakoulu-Tekniska högskolan, where he studied from 2002 to 2008. He also studied Computer Science at Michigan Technological University for one year in 2004. More recently, he completed a Master of Science in Economics at Aalto University from 2021 to 2023.
Experience in Research and Development
Tuomas Tölli has extensive experience in research and development. He worked as a Researcher at Aalto University School of Science and Technology from 2005 to 2008 and later served as a Course Assistant at the same institution. His industry experience includes a seven-year tenure as a Software Engineer at Palodex Group Oy, where he contributed to software solutions in the dental field.
Areas of Expertise
Tuomas Tölli possesses significant expertise in high-performance and parallel computing, particularly within the medical technology sector. His interests extend to cloud computing, which complements his work in computer vision and deep learning. He focuses on developing innovative solutions that leverage these technologies in the dental and medical fields.