Ming Han

Bioinformatician @ Geneseeq

About Ming Han

Ming Han is a bioinformatician with extensive experience in clinical genomics and data analysis. He has held positions at various institutions, including Dynacare, Mount Sinai Hospital, and Geneseeq Technology Inc., and has advanced degrees in Oncology, Neuroscience, Biomedical Informatics, and Clinical Genetics.

Work at Geneseeq

Ming Han has been employed at Geneseeq Technology Inc. as a Bioinformatician since 2020. In this role, he focuses on bioinformatics applications within the field of clinical genomics. His responsibilities include developing and implementing analytical tools for genomic testing, contributing to advancements in cancer research and diagnostics.

Previous Experience in Clinical Genomics

Before joining Geneseeq, Ming Han worked at several notable institutions. He served as a Medical Laboratory Technologist at Dynacare from 2016 to 2017. Following this, he was a Genetic Technologist at Mount Sinai Hospital within the Sinai Health System from 2017 to 2019. His experience includes extensive work with clinical genomics labs, enhancing his expertise in genomic testing and analysis.

Education and Expertise

Ming Han holds multiple degrees in relevant fields. He earned a Master of Science in Oncology and Cancer Biology from the University of New Brunswick, where he studied from 2013 to 2016. He also completed a Master of Science in Biomedical Informatics at Queen's University in 2020. Additionally, he holds a Bachelor's degree in Neuroscience from the University of Toronto, obtained between 2006 and 2011, and a Graduate Diploma in Clinical Genetics from The Michener Institute, completed from 2011 to 2013.

Graduate Studies and Research

During his time at Queen's University, Ming Han was a Graduate Student from 2019 to 2020, where he furthered his research in biomedical informatics. His academic pursuits have included conducting large-scale next-generation sequencing (NGS) cancer data mining projects, contributing to the understanding of cancer genomics.

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