Location History:
- Zurich, CH (2015 - 2016)
- Clyde Hill, WA (US) (2022 - 2024)
Company Filing History:
Years Active: 2015-2025
Title: Innovations of Matthias Troyer
Introduction
Matthias Troyer is a prominent inventor based in Clyde Hill, WA (US), known for his significant contributions to the field of materials science and machine learning. With a total of 10 patents to his name, he has made remarkable advancements that bridge the gap between computational methods and material discovery.
Latest Patents
One of his latest patents is a materials information database that incorporates machine learning models. This innovation provides a method enacted on a computing system that receives queries related to element information and material property information. Based on these queries, the system retrieves material data from a comprehensive database, which includes structural information and predicted material properties determined by trained machine learning models. Another notable patent is for an accelerator designed for computing combinatorial cost functions. This device includes memory, an accelerator device, and a processor that generates data packs indicating updates to variables of a combinatorial cost function. The accelerator retrieves variable values and generates updated cost function values, utilizing a Monte Carlo algorithm to enhance computational efficiency.
Career Highlights
Matthias Troyer is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop cutting-edge technologies. His work has significantly impacted the fields of materials discovery and computational modeling, showcasing his expertise and dedication to advancing technology.
Collaborations
Throughout his career, Matthias has collaborated with notable colleagues, including Helmut Gottfried Katzgraber and Christopher Anand Pattison. These collaborations have further enriched his research and development efforts, leading to groundbreaking innovations.
Conclusion
Matthias Troyer exemplifies the spirit of innovation through his patents and contributions to technology. His work in materials science and machine learning continues to pave the way for future advancements in the field.