ESC

News

Research updates, student achievements, publications, conference presentations, and other activities from the Wang Research Group.

July 2026 Our research on mega-scale cell-cell similarity networks of embryonic mouse brain transcriptomes will be presented at the Mississippi IDeA/EPSCoR Conference on July 23, 2026.
June 2026 The Wang Research Group launched an MS-INBRE SURF project, 'Mega-Scale Cell-Cell Similarity Network Analysis of Embryonic Mouse Brain Transcriptomes.'
2026 Our Transformer-based EEG research for Parkinson's disease classification was accepted at AAAI 2026. Congratulations to our student researcher Raven Lee and the research team!
2026 Congratulations to Dania M. Zein for earning First Place in the Undergraduate Oral Presentation category in Data Science at the 2026 Emerging Researchers National Conference in STEM (ERN).
2026 Congratulations to Dania M. Zein and Raven Lee on their admission to the M.S. in Data Science program at Meharry Medical College beginning Fall 2026.
2026 The Wang Research Group is advancing EVTS, a topology-aware framework for evaluating and refining RNA velocity embeddings in single-cell transcriptomics.
2026 Our research on RNA velocity and topology-aware evaluation was accepted for presentation at the International Conference on Intelligent Biology and Medicine (ICIBM 2026) in Buffalo, New York.
2026 Dr. Xiuquan Wang completed the MS-INBRE Pilot Project Development Grant interview for a project integrating RNA velocity and isoform-level analysis to investigate macrophage state transitions in non-small cell lung cancer.
2025 Congratulations to Dania M. Zein for earning First Place in the Computer Science and Information Management poster category at the 2025 Emerging Researchers National Conference in STEM (ERN).
2025 Congratulations to Raven Lee for earning First Place in an oral presentation at the 2025 Mississippi IDeA Conference for research in biomedical artificial intelligence and EEG analysis.
2025 Student researchers from the Wang Research Group received multiple research awards and recognitions at the Mississippi Academy of Sciences Annual Meeting.
2025 The Wang Research Group continued research on machine learning and mathematical approaches for extracting biological information from Nanopore long-read sequencing data through the NSF HBCU-UP Research Initiation Award.
2025 The Wang Research Group expanded its biomedical artificial intelligence research to Transformer-based EEG analysis for neurological disease classification.
2024 The Wang Research Group expanded its research in RNA velocity and single-cell transcriptomics, investigating computational approaches for modeling cellular dynamics and developmental trajectories.
2024 Student researchers from the Wang Research Group received recognition for research presentations at the Mississippi Academy of Sciences Annual Meeting.
2024 The Wang Research Group continued interdisciplinary research integrating mathematics, machine learning, and bioinformatics for long-read sequencing data analysis.
Oct. 14, 2023 Congratulations to Dwight Ross for earning Second Place and Dania M. Zein for earning Third Place at the 21st Annual Kincheloe Research Symposium!
Oct. 1, 2023 Dwight Ross and Dania M. Zein presented their research at the 21st Annual Kincheloe Research Symposium. Dwight presented machine learning research on anomaly detection and CNN-based COVID-19 detection from chest X-rays, while Dania presented research on predicting COVID-19 cases using deep neural networks.
Sep. 28, 2023 Dr. Xiuquan Wang presented 'Building Your Data Science Toolkit for Research' during TCRDF Research & Innovation Week.
Sep. 5, 2023 The Wang Research Group hosted a DNA sequence analysis workshop led by Dr. Lianna Li, introducing student researchers to genetics and biological sequence analysis.
Sep. 1, 2023 Dwight Ross and Dania M. Zein led a Wang Research Group presentation and discussion on gradient descent techniques in machine learning.