Anna Goldenberg facts for kids
Quick facts for kids
Anna Goldenberg
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Born |
Voronezh, Russia
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Alma mater |
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Awards | Early Researcher Award from Ministry of Research and Innovation |
Scientific career | |
Thesis | Scalable Graphical Models for Social Networks (2007) |
Anna Goldenberg is a brilliant computer scientist. She is a full professor at the University of Toronto in Canada. She works in both the Computer Science and Statistics departments.
Professor Goldenberg is also a senior scientist at the Hospital for Sick Children's Research Institute. She helps lead health research at the Vector Institute for Artificial Intelligence. She was the first person to hold a special position in biomedical informatics and artificial intelligence at the Hospital for Sick Children.
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Early Life and Education
Anna Goldenberg was born and grew up in Voronezh, Russia. When she was 17, in 1995, her family moved to Kentucky, U.S.A.. There, she studied Engineering Mathematics and Computer Science. She earned her Bachelor of Engineering degree from the University of Louisville.
Advanced Studies
After her first degree, Goldenberg continued her studies. She earned a Master's degree in Knowledge Discovery & Data Mining. Then, she completed her PhD in machine learning at Carnegie Mellon University in Pittsburgh. Her PhD research looked at how to use special computer models for social networks.
Research Career and Discoveries
In 2008, Anna Goldenberg moved to Canada. She started working as a post-doctoral fellow. Today, she is a professor at the University of Toronto. She also works as a scientist at the Hospital for Sick Children's Research Institute.
Using AI to Understand Diseases
Professor Goldenberg's lab uses machine learning to study human diseases. Machine learning is a type of artificial intelligence. It helps computers learn from data without being directly programmed. Her team looks for different patterns in patient data. This helps them understand how diseases affect people in unique ways. Their goal is to find better ways to help patients.
She has written more than 50 scientific papers. Her research has been mentioned over 2,000 times by other scientists.
Important Research Achievements
One of her team's big achievements is called Similarity Network Fusion. This method helps combine different types of patient information. For example, it can bring together data from different tests. This has helped doctors better predict how patients with certain cancers will do.
In 2017, Professor Goldenberg received a special award. She was named a Tier 2 CIHR-funded Canada Research Chair. This award recognized her important work in computational medicine at the University of Toronto.
Leading AI in Children's Health
On January 15, 2019, Professor Goldenberg made history. She became the first chair in biomedical informatics and artificial intelligence at the Hospital for Sick Children. This was the first position of its kind in a Canadian children's hospital. This important role helps bring advanced AI tools to help young patients. A generous donation from Amar Varma, a Toronto entrepreneur, helped fund this position.