doi.bio/kathryn_tunyasuvunakool


Kathryn Tunyasuvunakool

Early Life and Education

Kathryn Tunyasuvunakool is a research scientist specialising in machine learning and the study of proteins. Tunyasuvunakool began her studies in mathematics before transferring to biology. She has also worked as a software engineer.

Career

Tunyasuvunakool was part of the team that developed AlphaFold, a machine-learning method for predicting a protein's 3D structure from its amino acid sequence. She then led a team using AlphaFold to predict and study the structures of all human proteins. This data was made freely available to the scientific community.

Notable Works

- AlphaFold

Kathryn Tunyasuvunakool

Early Life and Education

Kathryn Tunyasuvunakool is a research scientist known for her work in machine learning and the study of proteins. Tunyasuvunakool has a varied academic background, starting in mathematics and transferring to biology. She has also worked as a software engineer.

Career

Tunyasuvunakool was part of the team that developed AlphaFold, a machine-learning method for predicting a protein's 3D structure from its amino acid sequence. She then led a team that used AlphaFold to predict and study the structures of all human proteins. The data from this study was made freely available to the scientific community. Tunyasuvunakool has described the benefits of her work, stating that:

"Experimental methods exist for solving protein structures, but they can take a long time and are labor-intensive. In many cases, AlphaFold can provide good-quality, actionable structural information within minutes."

Awards and Recognition

Tunyasuvunakool was recognised by MIT Technology Review as one of 35 innovators under 35 in the field of AI and robotics.

Kathryn Tunyasuvunakool

Early Life and Education

Kathryn Tunyasuvunakool is a research scientist specialising in machine learning and the study of proteins. Tunyasuvunakool began her studies in mathematics before transferring to biology. She has also worked as a software engineer.

Career

Tunyasuvunakool was part of the team that developed AlphaFold, a machine-learning method for predicting a protein's 3D structure from its amino acid sequence. She then led a team that used AlphaFold to predict and study the structures of all human proteins. The data from this study was made freely available to the scientific community.

Notable Works

Quotes

"If you want to get a detailed understanding of how they work, it's very helpful to know their structure. Experimental methods exist for solving protein structures, but they can take a long time and are labor intensive. In many cases, AlphaFold can provide good-quality, actionable structural information within minutes."




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