UNMC_Acronym_Vert_sm_4c
University of Nebraska Medical Center

Sushil Shakyawar, PhD

Instructor, Department of Genetics, Cell Biology, and Anatomy

402-559-5925

Headshot of Sushil Shakyawar, PhD

Dr. Shakyawar pursued his doctoral training through the Marie Curie-funded ITN program at SilicoLife Lda and the University of Minho, Portugal. His PhD research primarily centered on systems biology modeling and multi-omics integration to decipher the metabolism of human parasites. During his postdoctoral training in Dr. Babu Guda’s Lab at UNMC, he focused on applying computational and machine learning techniques to advance multi-omics research, particularly in disease subtyping (e.g., cancer), identifying molecular biomarkers, and developing prognostic models for human diseases. Earlier, he received a multidisciplinary education and training in biotechnology and bioinformatics during his master's at the University of York (UK) and his bachelor's at the Indian Institute of Technology Guwahati.

  • Post-doc, University of Nebraska Medical Center, Omaha, NE

  • PhD, Marie-Curie ITN program (SilicoLife Lda and University of Minho, Portugal)

  • MRes, University of York, UK

  • BTech, Indian Institute of Technology Guwahati, India

Dr. Shakyawar's current research focuses on:

  • Developing innovative bioinformatics approaches and tools for big data (omics) analysis and integration to explore molecular mechanisms of human diseases such as cancer and influenza.
  • Leveraging machine learning and AI-driven modeling to decipher disease complexity using multi-omics and clinical data.
  • Establishing grammatical frameworks and DNA language models (DLMs) to uncover contextual relationships and hidden genomic patterns.
  1. Shakyawar SK, Sajja BR, Patel JC, Guda C. iCluF: an unsupervised iterative cluster-fusion method for patient stratification using multiomics data. Bioinform Adv. 2024 Jan 30;4(1):vbae015. doi: 10.1093/bioadv/vbae015
  2. Shakyawar SK, Pandey S, Harvey DJ, et al., (2021) FGDB: Database of follicle stimulating hormone glycans. Comput Struct Biotechnol J.19:1635-1640.
  3. Dash, S#, Shakyawar, SK#, Sharma, M et al. Big data in healthcare: management, analysis and future prospects. J Big Data 6, 54 (2019). https://doi.org/10.1186/s40537-019-0217-0. #Equal contributions
  • Outstanding Postdoctoral Research Associate Award, UNMC, 2022
  • ICIBM-2022 Travel Award. International Conference on Intelligent Biology and Medicine, Philadelphia, PA 19107.
  • Marie Curie Alumni Association (MCAA) Micro Travel Award, Beilstein Glyco-Bioinformatics Symposium 2017.
  • CIMO Fellowship, Finnish National Agency for Education, 2013