About

Baris Ungun is a highly accomplished Senior Machine Learning Engineer at insitro with over 4 years of relevant experience. He has a strong educational background with a Doctor of Philosophy - PhD in the Department of Bioengineering from Stanford University, a Doctor of Medicine - MD from Stanford University School of Medicine, and a Bachelor of Science in Chemical Engineering from Princeton University. Baris has previously worked as a Formulation and Process Development Engineer at Gilead Sciences and as an Intern in Fluidics Engineering at BD. His diverse experience has given him a unique perspective and a comprehensive understanding of the industry. Baris is an expert in Machine Learning and has a deep understanding of the field. He is proficient in various programming languages and has a strong grasp of relevant technologies. His technical skills and expertise have allowed him to contribute significantly to the development of innovative solutions that have helped transform the industry. Baris is a highly motivated individual who is passionate about his work. He is a team player and works collaboratively with his colleagues to achieve common goals. He is a quick learner and adapts well to new situations, making him an asset to any team. In summary, Baris Ungun is a highly skilled Senior Machine Learning Engineer with a strong educational background and relevant experience. He has a deep understanding of the field and is proficient in various programming languages and relevant technologies. He is a team player and works collaboratively to achieve common goals. Baris is a quick learner and adapts well to new situations, making him an asset to any team.