The AI + Healthcare Innovation Fellowship in summer 2023, developed and taught by Stanford and MIT graduate students and alumni, offers students the opportunity to gain an endorsed technical skillset and complete a shareable AI project to advance their career ambitions.
Artificial Intelligence and Healthcare Program by Stanford Graduates
The AI and Healthcare Fellowship equips students with state-of-the-art machine learning techniques like Unsupervised Learning, Natural Language Processing, Convolutional Neural Networks, and more. Leveraging these new tools, students build out a professional portfolio with capstone projects such as disease discovery that draw on their unique interests and domain expertise. Please find more information about relevant projects and apply. Feel free to contact program coordinator Jared at firstname.lastname@example.org with any questions.
A few students have asked about instructor examples who have a background in AI and chemical engineering. Brianna Chrisman, a Stanford PhD in genomics who teaches with Inspirit AI, recently published innovative work applying innovative machine learning techniques to investigate nucleotides associated with autism. We’d love to make the 2023 AI Innovation Fellowship in Machine Learning available to students in your labs and classes.