Dani Kiyasseh, D Phil
About Dani Kiyasseh, D Phil
Dani Kiyasseh, D Phil, is a Senior AI Engineer at Vicarious Surgical Inc., specializing in artificial intelligence applications in healthcare. With a background that includes positions at prestigious institutions such as Mayo Clinic, Caltech, and the University of Oxford, Kiyasseh has developed deep learning algorithms to enhance surgical workflows and improve healthcare outcomes.
Current Role at Vicarious Surgical
Dani Kiyasseh serves as a Senior AI Engineer at Vicarious Surgical Inc. since 2022. In this role, Dani focuses on the application of artificial intelligence in surgical procedures, contributing to the development of advanced technologies that enhance surgical workflows. The position is based in Boston, Massachusetts, where Dani applies expertise in AI to improve healthcare outcomes.
Previous Experience in AI and Healthcare
Prior to joining Vicarious Surgical, Dani Kiyasseh held various positions that contributed to expertise in artificial intelligence and healthcare. Dani worked as a Postdoctoral Scholar at Caltech from 2021 to 2022, where the research involved developing deep learning algorithms to streamline surgical workflows. Additionally, Dani interned at Mayo Clinic in 2019 and held roles at Merck and Flatiron Health, focusing on machine learning applications in healthcare.
Education and Expertise
Dani Kiyasseh holds a Doctor of Philosophy (PhD) in Engineering Science from the University of Oxford, obtained from 2018 to 2021. Prior to this, Dani earned a Bachelor of Science (BS) in Biomedical Engineering from The Johns Hopkins University, graduating in 2018. Dani also completed a Postdoctoral Scholar program at Caltech, specializing in artificial intelligence for healthcare. This educational background supports a strong foundation in both engineering and healthcare applications of AI.
Research Contributions
During the doctoral studies at the University of Oxford, Dani Kiyasseh's research focused on creating deep learning algorithms that perform efficiently with limited data in healthcare applications. This work aimed to enhance the effectiveness of machine learning in medical settings. At Caltech, Dani further developed deep learning algorithms in collaboration with surgeons, aiming to improve surgical workflows, demonstrating a commitment to advancing AI in healthcare.
Early Academic Background
Dani Kiyasseh's academic journey began at The British International School of Jeddah, where Dani completed the International Baccalaureate program, focusing on subjects such as Biology, Physics, and Mathematics. This foundational education laid the groundwork for further studies in engineering and artificial intelligence, leading to a successful career in the intersection of technology and healthcare.