Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Biography

Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy. She earned her PhD in Engineering, MSc in Electronic Engineering, and a Bachelor’s degree in Energy Engineering in Colombia.

Research Interests

Her research interests include video understanding, domain adaptation, generative AI, and preserving patient privacy, with a focus on deep learning, machine learning, and artificial intelligence for healthcare applications.

Professional Profile

Service Contributions

Public Outreach
  • Outreach & Public Relations Chair for the LatinX in CV Research Workshop at CVPR 2022, CVPR 2023, and ICCV 2023., 2022 - present

Awards and Distinctions

  • 3rd Place: AI Challenge Data Augmentation for Rare Liver Cancers, French Society of Radiology, 2022
  • 2nd place: Bayer Young Community Innovators, BAYER S.A.S., 2017
  • 1st place: National Award for Energy Efficiency - Projects Category, Andesco - MinMinas - Findeter, 2016

Education

Doctor of Philosophy (Ph.D.)
Electrical and Electronic Engineering, Universidad Industrial de Santander, Colombia, 2023
Master of Science (M.S.)
Electrical and Electronic Engineering, Universidad Industrial de Santander, Colombia, 2019
Bachelor of Engineering (B.Eng.)
Energy Engineering, Universidad Autónoma de Bucaramanga, Colombia, 2016