Gondara, Lovedeep

Gondara, Lovedeep

PhD, MS

Faculty of Medicine, School of Population and Public Health

Biography:

Lovedeep Gondara is a Research Scientist (Machine Learning) at Provincial Health Services Authority (PHSA). His research interests include privacy-preserving machine learning, applications of large language models to healthcare and resource constrained domains, multimodal machine learning, decentralized machine learning, and (bio)statistics. His current research is primarily focused on applications of his research interests to healthcare.

Research areas of interest:

Application of machine learning and biostatistics to women’s health research

Research Themes:

Woman's Cancer Global Health Genomics and Personalized Health

Website: lovedeepgondara.com

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The Women’s Health Research Institute would like to acknowledge that we are uninvited guests on the unceded ancestral territories of the xʷməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), Stó:lo, and sel̓íl̓witulh (Tsleil-waututh) Nations.

As a provincial research institute committed to improving the health outcomes of women, including those across the 2SLGBTQIA+ spectrum, we recognize our responsibility in the collective effort towards establishing culturally safe health care systems and services that address health inequities among Indigenous peoples, especially Indigenous women, girls, and Two-spirit peoples.

We encourage all people involved in research to read both the Truth and Reconciliation Commission of Canada: Calls to Action and the In Plain Sight Report, and reflect on ways we can incorporate the recommendations into our work. As we gather in spaces together, we encourage you to reflect on your positionality on these lands and your personal commitments to reconciliation.

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