NLM DIR Seminar Schedule
UPCOMING SEMINARS
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Nov. 16, 2026 Jeremy Miller, PhD
Open access neuroscience data and tools from the Allen Institute and collaborators -
Dec. 8, 2026 Francisco Salvà Serra
TBD -
Dec. 15, 2026 Di Huang
TBD -
Jan. 5, 2027 Vivek Anantharaman
TBD -
Jan. 12, 2027 Oleg Igorevich Obolensky
TBD
RECENT SEMINARS
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Nov. 3, 2026 Joseph Thole
Using ProteinMPNN to Dissect RfaH CTD Refolding -
Oct. 27, 2026 Bayarbaatar Amgalan
Computational methods to study interactions between tumors and their micro and macro environments -
Oct. 20, 2026 Devlina Chakravarty
Toward Reliable Amyloid Assembly Prediction -
Oct. 13, 2026 Ryan Bell
Satellite Phage Integrated Defensive and Ecotypic Replicons (SPIDERs). -
Oct. 6, 2026 Roman Kogay
Beyond canonical architectures: exploring hidden variation of prokaryotic defense systems
The NLM DIR holds a public weekly seminar series for NLM trainees, staff scientists, and investigators to share details on current and exciting research projects at NLM. Seminars take place on Tuesdays at 11:00 AM, EST and some Thursdays at 3:00 PM, EST. Seminars are held in the B2 Library of Building 38A on the main NIH campus in Bethesda, MD.
To schedule a seminar, click the “Schedule Seminar” button to the right, select an appropriate date on the calendar to sign up, and then complete the form. You will need an NIH PIV card to access the “Schedule Seminar” page.
Please include seminars by invited visiting scientists in the NLM DIR seminar series. These need not be on a Tuesday or Thursday.
If you would like to schedule a seminar by a visiting scientist, click the “Schedule Seminar” and complete the form. Contact NLMDIRSeminarScheduling@mail.nih.gov with questions. Please follow this link to subscribe/unsubscribe to/from the NLM DIR seminar mailing list.
Titles and Abstracts for Upcoming Seminars
(based on the current date)
Open access neuroscience data and tools from the Allen Institute and collaborators
The Allen Institute and its collaborators are creating comprehensive maps of brain cell types across species, development, aging, and disease, and making the resulting data and tools openly available to the scientific community. This presentation will introduce the gene expression atlases, reference spaces, and single-cell and spatial transcriptomics datasets that provide a foundation for modern brain cell type atlases. Through a series of practical use cases, we will explore open resources for investigating gene expression and cell type properties, mapping new datasets to reference taxonomies, comparing cell type annotations, and connecting molecular identity with other cellular features. Together, these resources provide a framework for applying large-scale brain atlases to diverse neuroscience questions.
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