About

Hello! 👋

I am a Ph.D. student at the University of Cincinnati, working under the guidance of Prof. Anil Jegga and Prof. Ali Minai.

In my PhD research, I have been studying the capabilities of graph neural networks (GNN) in handling complex networks, primarily focusing on multimodal datasets. My published work includes in-depth analysis of biomedical networks and modeling them via graph neural networks. Furthermore, while working at Seagate, I evaluated the capabilities and limitations of Transformers and convolutions in semicounductor (soft-sensing) data. This led me to propose innovative approaches for addressing imbalanced time-series datasets.

In the moments I wrest from the fabric of time, I enjoy thinking about startups, economics, and humans in space. For fun, I build things 👨🏼‍💻, lift weights 🏋🏻‍♂️, watch movies 🍿, read books 📚, and practice guitar 🎸.

Publications

  • Jaswanth K Yella, Anil G Jegga. MGATRx: Discovering Drug Repositioning Candidates Using Multi-view Graph. In Proceedings of BIOKDD’20: International Workshop on Data Mining for Bioinformatics. 2020.

  • Yunguan Wang, Jaswanth K Yella, Sudhir Ghandikota, Tejaswini C Cherukuri, Satish K Madala, Anil G Jegga. Pan-transcriptome-based Candidate Therapeutic Discovery for Idiopathic Pulmonary Fibrosis. bioRxiv 2019.

  • Yunguan Wang, Jaswanth Yella, and Anil G Jegga. Transcriptomic data mining and repurposing for computational drug discovery. In Computational Methods for Drug Repurposing, pages 73–95. Humana Press, New York, NY, 2019.

  • Jaswanth Yella, Suryanarayana Yaddanapudi, Yunguan Wang, and Anil Jegga. Changing trends in computational drug repositioning. Pharmaceuticals, 11(2):57, 2018.

  • Y Wang, S Yaddanapudi1, J Yella, V Sontake, SK Madala, and A Jegga. Integrative omics to discover drug repurposing candidates for idiopathic pulmonary fibrosis. In A42. ILD SCIENTIFIC ABSTRACTS: TREATMENT AND ACUTE EXACERBATION, pages A1637– A1637. American Thoracic Society, 2018.

  • Y Wang, J Yella, SK Madala, and A Jegga. Prioritizing idiopathic pulmonary fibrosis candidate genes based on” guilt by association” analysis. In A68. MOLECULAR DETERMINANTS OF REMODELING IN LUNG FIBROSIS, pages A2228–A2228. American Thoracic Society, 2018.

  • Yunguan Wang, Jaswanth Yella, Jing Chen, Francis X McCormack, Satish K Madala, and Anil G Jegga. Unsupervised gene expression analyses identify ipf-severity correlated signatures, associated genes and biomarkers. BMC pulmonary medicine, 17(1):133, 2017.

Education

  • Ph.D in Computer Science, 2022 (Expected)
    University of Cincinnati
  • MS in Computer Science, 2018
    University of Cincinnati
  • B.Tech in Computer Science, 2013
    Jawaharlal Nehru Technological University

Contact me

Feel free to reach me at yellajk@mail.uc.edu