Course Description
Please join the FAES Academic Programs team on May 12, 2026 from 12 to 12:30PM ET for a Virtual Information Session to learn more about our summer courses, workshops, and our scholarship program!
The Teams link for the Information Session will be sent to you via email on May 12, 2026..
View the recording of our previous Virtual Information Session!
By registering for this event, you agree to allow FAES to take photographs of you during the event and to use these photos for promotional purposes, including on our website, social media, and marketing materials, without further compensation. You understand that you have no right to review or approve the final use of these images.
Join FAES for the Following Upcoming Events:
FAES Educational Webinar Series: Redefining Education: The Brain Mechanisms of Afterimages
May 27, 2026, 12PM – 12:30PM ET
Location: Live-Online
Speaker: Sharif Kronemer, Ph.D. (NEUR 305)
Afterimages are common visual illusions that have attracted interest for hundreds of years. The precise physiological mechanisms of afterimages are unknown. Sharif will share details of a recent study highlighting for the first time the whole brain and cortical layer signals linked with afterimage perception. This work is broadly significant for addressing the neural mechanisms of conscious experience.
Register now
FAES Science Insight Series: Leveraging Data Science to Advance Maternal and Child Health Research
May 21, 2026 from 11:45 – 1:00 pm ET (must arrive by 12PM)
Location: FAES Learning Labs Classrooms
Speaker: Quynh Nguyen, Ph.D., MSPH., Investigator at NINR and director of the HashtagHealth Lab
Dr. Nguyen will lead a discussion on harnessing data science to better understand and address maternal and child health disparities. She will highlight examples from her own research, including: 1) developing and evaluating an AI-powered health education chatbot to improve maternal and infant health outcomes; and 2) applying computer vision models to Google Street View images to generate national indicators of neighborhood-built environments and investigate their associations with health outcomes, such as motor vehicle collision fatalities among children.
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FAES Science Insight Series: Trust Through Knowledge Grounding: AI Agents in Biomedicine
June 9, 2026 from 11:45 – 1:00 pm ET (must arrive by 12PM)
Location: FAES Learning Labs Classrooms
Speaker: Zhiyong Lu, PhD FACMI, FIAHSI, Senior Investigator, NIH, Professor of Computer Science (Adjunct), UIUC
Recent advances in large language models (LLMs) have enabled powerful AI agents for biomedical research, yet their adoption in high-stakes settings remains limited by concerns about hallucination, opacity, and reliability. In this talk, I discuss how expert-curated domain knowledge can be used to help mitigate these challenges in general-purpose LLMs. Drawing on real-world systems and case studies such as GeneAgent (Nature Methods 2025), I will highlight design principles for building AI agents that are scientifically sound, interpretable, and suitable for biomedical research and clinical applications.
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The Foundation for Advanced Education in the Sciences (FAES) at NIH seeks to foster education and research in the biomedical sciences by providing instruction at the cutting edge of biological science and its evolving applications. Our goals also include responding to the educational and cultural needs of the NIH community and projecting FAES educational assets globally. All courses and workshops are open to the public. NOTICE OF NONDISCRIMINATORY POLICY AS TO STUDENTS FAES admits students of any race, color, national and ethnic origin to all the rights, privileges, programs, and activities generally accorded or made available to students at the school. It does not discriminate on the basis of race, color, national and ethnic origin, sex, disability, or age in administration of its educational policies, admissions policies, scholarship programs, and other school-administered programs.
