Kate Tsiplova is a statistician with the Population Health Research Institute in Hamilton, Canada, and has also worked in the field of economic evaluation with Wendy Ungar at the Technology Assessment at Sick Kids in Toronto, Canada.
Kate Tsiplova
Statistician
Population Health Research Institute
From this contributor
Detecting a signal amid noise in autism early-intervention research
Studies of behavioral treatments for autism are complex and can easily be misunderstood. Here we provide some guidance.
Detecting a signal amid noise in autism early-intervention research
By
Isabel Smith, Kate Tsiplova, Wendy Ungar
28 March 2023 | 5 min read
Explore more from The Transmitter
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
By
Jill Adams
18 August 2026 | 1 min read
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
By
Katie Moisse
18 August 2026 | 7 min read
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
By
Alex Williams
17 August 2026 | 7 min read