STEMcast

As Landry described "My ideal clients lead active lifestyles. Either being professionals in management, health field, sports or the arts industry, they know the importance of a well balanced life and how hard it is to achieve. They are professionals who want to better their emotional and relational lives while overcoming obstacles that might prevent them from becoming who they were meant to be. My clients value others, are willing to be vulnerable and want to contribute to the world around them on a small or a large scale. They value honesty and have the courage to change something others might fear to change. They aspire to lead meaningful lives"

Advances in technology, accelerated by commercial electronics, are revolutionizing how we monitor biomedical data; this includes wearable, pervasive, and continuous monitoring systems. These new biomedical monitor systems are fueling a large increase in the amount of biomedical data but also a decrease in data quality, with data being acquired with low-cost (lower-quality) systems, in uncontrolled environments, and by non-expert users. While there is useful information in these data, low quality biomedical data can result in misinformation, including false alarm and misdiagnoses. Dr. Chan's research group has been examining ways of:

• detecting low quality biomedical data

• identifying types of contaminants

• quantifying biomedical signal quality

• leveraging biomedical signal quality knowledge in biomedical systems

Dr. Fraser received her first PhD in mathematics at the university of Stanford in 1994, followed by her second PhD in computer science at the university of Chicago in 2010. Her primary focus of research is Machine Learning (statistical machine learning and toplogical data analysis), along with Contact/Symplectic Geomtry and Computational Geomtry. Her focus in Machine Learning is its interaction with Neuroscience, specifically in understanding theoretical principles governing both artificial and biological learning, developing data-analytic tools for neuroscience data, and taking inspiration from biological learning to develop machine learning algorithm.

Dr. John Bell received his PhD from McMaster University in 1982. The three years that followed, he trained as a post-doctoral fellow at the University of Ottawa and then at the Medical Research Council in London, England. Dr. Bell began his independent research career at McGill University in 1986 and moved to the University of Ottawa, Department of Medicine, in 1989. He is a member of the Center for Cancer Therapeutics at The Ottawa Hospital Cancer Center, a Senior Scientist with the Ottawa Hospital Research Institute and Professor of Medicine at the University of Ottawa. He heads the Canadian Oncolytic Virus Consortium, a Terry Fox funded group from across Canada that is developing virus based cancer therapeutics and is the Director of the Biotherapeutics Program for the Ontario Institute for Cancer Research. He is the Scientific Director of the National Centre of Excellence for the development of Biotherapeutics for Cancer Therapy and is a fellow of the Royal Society of Canada.

Robert Chen, MD, is a staff anesthesiologist at the University of Ottawa Heart Institute. Dr. Chen received his medical degree from McMaster University in 1992. He completed his anesthesiology residency at the University of Toronto and fellowships in trauma anesthesiology at the Ryder Trauma Center (University of Miami) and St. Michael’s Hospital (University of Toronto). He also received further training in transesophageal echocardiography.

STEMcast is a not-for-profit podcast that serves to highlight the connections between the largely varying subfields of STEM. We interview guest speakers from a diverse range of fields to answer the most commonly asked questions by undergraduate students about their respective career.