Blog
Stories from our research, our team, and our community.
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eGoT Featured in Northeastern Global News
Northeastern Global News reports on eGoT, the lab’s enhanced graph-of-thoughts algorithm for multi-domain knowledge retrieval and hallucination reduction in large language models.
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SPLAIRE: Improving Splice Site Usage Prediction with a Cell-Type-Optimized Model
A dilated convolutional neural network trained on RNA-seq from 100 airway epithelial donors improves splice site usage quantification, with a systematic evaluation of current sequence-based splicing models.
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Deep Fusion of Temporal EEG and Spatial fMRI for Cross-Subject Sleep Stage Classification
Jahnavi Umesh presents new work on graph-based multimodal fusion at the Institute for Cognitive and Brain Health, Northeastern University, demonstrating that EEG and fMRI carry complementary information for sleep stage decoding.
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Daniela Gonzalez to Address Northeastern's 2026 Boston Graduate Commencement
A celebration of scholarship, scientific impact, and a remarkable journey from the bench to the model. Neural Dynamics is proud to see Daniela take the stage at Fenway Park.
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Two Neural Dynamics Researchers Named to the Laurel and Scroll 100
Nihar Sanda and Daniela Gonzalez join Northeastern’s 2026 class of top graduate students, honored for research impact spanning knowledge aggregation in biomedicine and deep learning for precision oncology.
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eGoT: Enhanced Graph-of-Thoughts for Multi-Hop Knowledge Retrieval and Hypothesis Generation in Biomedicine
An inside look at the lab’s ISMB 2026 paper on a retrieval-augmented generation algorithm that builds knowledge graphs directly from biomedical literature and reasons over them with an iterative graph-of-thoughts process. To appear in Bioinformatics.
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DeepWeightFlow: Re-Basined Flow Matching for Generating Neural Network Weights
An inside look at the lab’s ICLR 2026 paper on a generative model that produces complete weight sets for trained neural networks without fine-tuning, across architectures and data modalities.
