Karin Lachmi
About Karin Lachmi
Karin Lachmi is the Chief Scientific Officer and Founder of Bioz, Inc., with extensive academic and professional experience in the medical research field. She holds doctorates from Tel Aviv University and Stanford University, and has held various positions at Tel Aviv Medical Center prior to her current role.
Work at Bioz
Karin Lachmi serves as the Chief Scientific Officer and Founder of Bioz, Inc., a position she has held since 2013. Under her leadership, Bioz focuses on leveraging artificial intelligence to enhance scientific research and data analysis. The company aims to streamline the process of finding and utilizing scientific information, contributing to advancements in various fields.
Education and Expertise
Karin Lachmi has an extensive educational background in the sciences. She completed her Bachelor of Science at Tel Aviv University from 1998 to 2001. Following this, she pursued a Doctor of Philosophy at Tel Aviv University from 2001 to 2007. She furthered her studies at Stanford University, where she attended both Stanford University and Stanford University School of Medicine from 2007 to 2011, obtaining advanced degrees that solidified her expertise in scientific research.
Background
Karin Lachmi began her career as a Research Engineer at Tel Aviv Medical Center, working with the company Inflamet from 2001 to 2003. She then took on the role of Managing Director for the Western Region in the United States at Tel Aviv Medical Center, a position she held from 2011 to 2015. This experience provided her with a strong foundation in both research and management within the medical field.
Professional Experience
Karin Lachmi has accumulated significant professional experience in the medical and scientific sectors. Her roles at Tel Aviv Medical Center included both research and management positions, allowing her to develop a comprehensive understanding of the healthcare landscape. Since founding Bioz, she has focused on integrating technology with scientific research, aiming to improve accessibility and efficiency in data utilization.