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Baris Ungun, MD PhD, has held various roles in the field of machine learning and engineering. Baris is currently working as a Staff Machine Learning & Optimization Engineer at TheraPanacea since October 2022. From October 2019 to August 2022, they served as a Senior Machine Learning Engineer at insitro. Prior to that, they worked at Gilead Sciences as a Formulation and Process Development Engineer from July 2008 to July 2010. Baris started their career as an intern in Fluidics Engineering at BD in 2007.

Baris Ungun, MD PhD has an extensive education history. Baris began their academic journey in 2004 and completed their undergraduate studies at Princeton University, where they earned a Bachelor of Science in Chemical Engineering in 2008. Following this, they joined Stanford University School of Medicine in 2010, where they pursued their medical degree and successfully earned a Doctor of Medicine (MD) in 2019.

During their time at Stanford University, Ungun also demonstrated a keen interest in research, specifically in the field of bioengineering. In 2012, they enrolled in the Department of Bioengineering at Stanford University for their doctoral studies. After several years of intensive research and scholarly work, they obtained their Doctor of Philosophy (PhD) in Bioengineering in 2019 from Stanford University.

Overall, Baris Ungun, MD PhD possesses a strong academic background, combining the knowledge and skills acquired in various fields such as chemical engineering, medicine, and bioengineering from prestigious institutions such as Princeton University and Stanford University.