Interested in Machine Learning, Explainable AI, or Healthcare AI? Join the Machine Learning and Explainable A…
Interested in Machine Learning, Explainable AI, or Healthcare AI? Join the Machine Learning and Explainable AI for Healthcare Lab (MLXAI-H Lab)!
This lab is for students who want to learn how to conduct high-quality research and develop AI systems that are not only accurate, but also understandable, reliable, and trustworthy. We work on topics such as Explainable AI (XAI), Trustworthy AI, Uncertainty Quantification, Model Calibration, Robustness, Out-of-Distribution Detection, and Clinical Decision Support Systems.
Whether you are new to research or already have some experience, you will have the opportunity to learn how to read papers critically, design experiments, analyze results, and write scientific manuscripts.
Prerequisites:
Basic programming knowledge (preferably Python)
Basic statistical knowledge
Basic understanding of Machine Learning concepts
Curiosity, consistency, and a willingness to learn are more important than having prior research experience. If you are passionate about building trustworthy AI for healthcare and want to grow as a researcher, I would be happy to work with you.