NLM DIR Seminar Schedule
UPCOMING SEMINARS
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Feb. 17, 2026 Zhaohui Liang
Heterogeneous Graph Re-ranking for CLIP-based Medical Cross-modal Retrieval -
Feb. 19, 2026 Jean Thierry-Mieg
On Magic2, an innovative hardware-friendly RNA-seq analyzer -
Feb. 24, 2026 Ajith Viswanathan Asari Pankajam
TBD -
March 3, 2026 Gianlucca Goncalves Nicastro
TBD -
March 5, 2026 Hasan Balci
TBD
RECENT SEMINARS
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Feb. 5, 2026 Lana Yeganova
From Algorithms to Insights: Bridging AI and Topic Discovery for Large-Scale Biomedical Literature Analysis. -
Jan. 29, 2026 Mehdi Bagheri Hamaneh
FastSpel: A simple peptide spectrum predictor that achieves deep learning-level performance at a fraction of the computational cost -
Jan. 22, 2026 Mario Flores
AI Pipeline for Characterization of the Tumor Microenvironment -
Jan. 20, 2026 Anastasia Gulyaeva
Diversity and evolution of the ribovirus class Stelpaviricetes -
Jan. 8, 2026 Won Gyu Kim
LitSense 2.0: AI-powered biomedical information retrieval with sentence and passage level knowledge discovery
Scheduled Seminars on Sept. 5, 2025
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Where will the next pandemic virus come from? Rapid global changes in agriculture, climate, and mobility of humans and animals are driving the emergence and re-emergence of zoonotic infectious diseases with pandemic potential, for example H5N1 ‘bird flu.' In this talk, I will describe how advanced Bayesian phylodynamic approaches use genomic sequence data to understand virus evolution, spillover, and spatial spread and offer a new global strategy for combating emerging infectious diseases. I will also describe NIH-led efforts to integrate genomics into a global pandemic risk assessment pipeline to rapidly identify new variants of influenza — and potentially other rapidly evolving zoonotic RNA viruses — that pose a high risk to humans.