About

Amir Kermany is an experienced Data Scientist with over 24 years of relevant experience. He specializes in large-scale genomics and health and life sciences datasets. Currently, he is working as a Staff Computational Scientist at the University of Chicago Research Computing Center. He is also serving as the Global Technical Director for Healthcare and Life Sciences at Databricks. Amir has a strong academic background with a Ph.D. in Mathematics from Concordia University, an M.Sc. in Electrical Engineering from the University of Ottawa, and a B.Sc. in Physics from Sharif University of Technology. He has also completed postdoctoral research in Human Genetics at the University of Chicago and Mathematics at the Université de Montréal. Throughout his career, Amir has worked with several leading organizations. He has previously worked as a Senior Data Scientist at Shopify, where he designed and developed data/ML pipelines to create merchant-facing data products. He has also worked as a Part-Time Professor at the University of Ottawa, where he taught computational tools for biological sciences, with an emphasis on using modern data science tools in research. Amir has a strong tech stack, including expertise in SQL, ML, Pandas, Python, Scala, and Databricks. He is a skilled Research Scientist and Data Scientist with a proven track record of in-depth data analysis and developing data products. His experience in academia and industry has given him a unique perspective on how to leverage data science in the healthcare and life sciences sectors. In summary, Amir Kermany is an accomplished Data Scientist with extensive experience in large-scale genomics and health and life sciences datasets. He is a skilled Research Scientist and Data Scientist with a strong academic background and a proven track record of developing data products. His expertise in SQL, ML, Pandas, Python, Scala, and Databricks makes him a valuable asset to any organization.