Amjad Alkodsi
About Amjad Alkodsi
Amjad Alkodsi is a Senior Bioinformatician at SOPHiA GENETICS in Switzerland, specializing in cancer genomics and computational biology. He holds a Bachelor's degree in Biomedical/Medical Engineering from Damascus University and a PhD in Human/Medical Genetics from the University of Helsinki.
Work at SOPHiA GENETICS
Amjad Alkodsi currently holds the position of Senior Bioinformatician at SOPHiA GENETICS, where he has been employed since 2021. In this role, he contributes to the development of bioinformatics products, utilizing his expertise in cancer genomics and sequencing technologies. Prior to his current position, he worked as a Bioinformatician at the same company from 2020 to 2021. His work focuses on enhancing data-driven insights in the field of bioinformatics.
Education and Expertise
Amjad Alkodsi has a robust educational background in biomedical and computational sciences. He earned a Bachelor's degree in Biomedical/Medical Engineering from Damascus University between 2003 and 2008. He further pursued advanced studies, obtaining a Master of Science in Computational Biology from both KTH Royal Institute of Technology and Aalto University from 2011 to 2013. He completed his Doctor of Philosophy in Human/Medical Genetics at the University of Helsinki from 2013 to 2018. His expertise includes machine learning applications in bioinformatics and computational biology.
Background
Amjad Alkodsi has extensive experience in bioinformatics, having worked in various capacities at academic institutions and industry. He served as a Bioinformatics Research Scientist and PhD candidate at the University of Helsinki from 2013 to 2018. Following this, he worked as a Bioinformatics Postdoctoral Researcher at the same university from 2019 to 2020. His career reflects a strong commitment to advancing the field of bioinformatics through research and product development.
Achievements
Throughout his career, Amjad Alkodsi has made significant contributions to the field of bioinformatics, particularly in cancer genomics. He possesses advanced skills in R programming, which he applies to statistical data analysis and data visualization in bioinformatics applications. His work has been instrumental in leveraging data-driven insights to enhance bioinformatics products, particularly at SOPHiA GENETICS.