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Join us for the CanNRT Research Forum featuring Shoi Shi, presenting "Interdisciplinary Approaches in Basic and Clinical Research: Focus on Child Development, Infectious Diseases, and Sleep Regulation." Shoi will discuss the integration of data science, mathematical modeling, and real-world data in medical research, highlighting their impact on child development, infectious disease prevention, and sleep regulation. Don't miss this opportunity to explore cutting-edge interdisciplinary research!

Shoi Shi, PhD

Principle Investigator, International Institute for Integrative Sleep Medicine,听University of Tsukuba, Japan

Abstract:听The integration of 'dry' research methodologies such as data science, bioinformatics, and mathematical modeling is becoming increasingly vital in the medical sciences. These approaches not only enhance our understanding but also bridge the gap between traditional experimental 'wet' lab research and theoretical exploration. In this seminar Dr. Shi will highlight the powerful impact of combining these disciplines to address complex biological and medical challenges. He will discuss his work in using data science and mathematical models to assess child development, enhance strategies for preventing infectious diseases such as COVID-19, and uncover the underlying mechanisms regulating sleep. This presentation will demonstrate the value of interdisciplinary research in advancing our knowledge and solving real-world health issues.

About CanNRT Research Forums:

The Canadian Neurodevelopmental Research Training (CanNRT) Platform is a collaborative training environment that supports sustainable and equitable pathways for early career researchers in neurodevelopment across Canada through cross-sector learning, mentorship, and connectivity.

CanNRT Research Forums showcase the diverse work of CanNRT members and foster opportunities for collaboration and knowledge exchange within the neurodevelopmental research community and beyond.