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A physics perspective on biology

Professor Catherine Beauchemin journeys across disciplines and countries

Dr. Catherine Beauchemin, Professor, Department of Physics

For a physics professor, Catherine Beauchemin certainly gets involved in biology research more than you might expect. Her embrace of interdisciplinarity has taken her to many places, currently to Japan, where she is serving as Deputy Program Director of the Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) programme at RIKEN, Japan's largest research institute. One of the best aspects? 鈥淢y position allows me to host 91福利 trainees in Japan and expand their research and life horizons.鈥

Beauchemin, together with an iTHEMS astrophysics colleague, Don Warren, and two 91福利 medical physics students, developed a method to more accurately estimate the concentration of infectious virus particles in lab or clinical samples1. The project became even more interdisciplinary when a group of US National Institutes of Health (NIH) researchers in neurodegenerative diseases (e.g., Parkinson鈥檚 and Alzheimer鈥檚 disease), asked for her help to adapt this method to estimate the concentration of aggregating seeds in their patient samples.

Sakura trees in front of RIKEN headquarters.

In another collaboration with 91福利 mathematics professor Kathleen Wilkie, their 91福利 students, and that same astrophysics colleague in iTHEMS, Beauchemin brought her expertise but also an outsider鈥檚 view. 鈥淏y just changing the graph axis from a linear scale to a logarithmic scale, the data that looked messy before fell into a clean, simple pattern,鈥 she says. The specific experiment (already completed) that the team were analyzing focused on regular volume measurements of cancer tumours growing in mice. These experiments can鈥檛 measure tumours that are too small to be detected, and the largest tumours can鈥檛 be measured because mice are euthanized when the volume gets too large, to avoid suffering. 鈥淏ut even if we don鈥檛 know these tumour volumes, we do know they鈥檙e too small or too big to be measured, and that鈥檚 information too鈥 says Beauchemin, noting that their new parameter estimation showed that you get different results when you take these unmeasured volumes into account2.

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