Research

Recent Grants

  • Co-I, “AI-Enabled Musical Formulation of Biometric Data for Promoting Medical Equity,” National Institutes of Health (NIH) AIM-AHEAD, Award No: 1OT2OD032581-02 and Subaward No. 211014AS096-05, $98,273.00, 2023-2024. Collaborate with PI Dr. Liang Yu, Co-I Dr. Dalei Wu, Co-I Dr. Zibin Guo, and Co-I Dr. Katherine Elverd.
  • Lead Co-PI from UTC, “Association of Smoking, Obesity, Mental Health, and Other Social Determinants in Patients with Chronic Obstructive Lung Disease (COPD) and Exposure to COVID-19 in Tennessee,” BRIC, $25,000.00, 2023. Collaborate with Lead Co-PI from Erlanger Dr. Patrick Koo and Senior Personnel Dr. Hong Qin.
  • PI, “III: Small: RUI: Investigating Fragmentation Rules and Improving Metabolite Identification Using Graph Grammar and Statistical Methods,” National Science Foundation (NSF), Award No: 2053286, $284,098.00, a supplement of $58,088.04 for using cloud computing, 2020 – 2025.
  • Co-PI, “CC* Compute: Augmenting a 2,560-core EPYC2 Computational Cluster with GPUs for AI, Machine Learning, and other GPU-Accelerated HPC Applications,” National Science Foundation (NSF), Award No: 2201497, $415,868.00, 2022 – 2025. Collaborate with PI Dr. Kidambi Sreenivas, Co-PIs Dr. Farah Kandah and Dr. Eleni Panagiotou, and former PI Dr. Anthony Skjellum.
  • Co-PI, “REU Site: Interdisciplinary Computational Biology (iCompBio),” National Science Foundation (NSF), Award No: 2149956, $413,526.00, 2022 – 2025. Collaborate with PI Dr. Hong Qin.
  • Co-PI, “REU Site: ICompBio – Engaging Undergraduates in Interdisciplinary Computing for Biological Research,” National Science Foundation (NSF), Award No: 1852042, $435,498.00, 2022 – 2024. Collaborate with PI Dr. Hong Qin.
  • PI, “III: Small: RUI: Investigating Fragmentation Rules and Improving Metabolite Identification Using Graph Grammar and Statistical Methods,” National Science Foundation (NSF), Award No: 1813252, $479,584.00, 2019 – 2020. Collaborate with Co-PI Dr. Myungjae Kwak. (This grant is transferred to the NSF grant with Award No. 2053286)

Projects

Metabolomics: Analyze tandem mass spectrometry (MS/MS) data of metabolites.

Proteomics: Analyze tandem mass spectrometry (MS/MS) data of peptides and proteins.

Machine Learning: Interpret and analyze neural networks, improve graph neural networks training and quantify uncertainties.

Social Media Data Analysis: Analyze social media data.

Graph Grammar: Use graph grammar to implicitly analyze graphs.

Non-coding RNAs (ncRNAs): Predict ncRNA structures and search ncRNA genes.