Acta Computationis Biologicae

Supplementary Information

S1. Author note

A biographical letter from the corresponding author.


Department of Biological Sciences
University of Lethbridge
Lethbridge, Alberta, Canada

Plate I

Sweta Rai, corresponding author, holding the Gold Medal
Plate I. Corresponding author. The plate is set in binary. The person and the data occupy the same field. She holds the Gold Medal of Bangalore University, 2022. Lethbridge, Alberta, Canada.

To the reader of this volume,

I am a PhD candidate in Biological Sciences at the University of Lethbridge. I work with Dr. Igor Kovalchuk on multi-omics data analysis for biomarker discovery in rheumatoid arthritis. I build reproducible R and Python pipelines that turn public genomic archives into clinically meaningful signal from transcriptomics, methylomics, and machine learning.

Before Lethbridge I completed a Master of Science in Applied Genetics and Bioinformatics at Bangalore University. I graduated with the Gold Medal and university first rank. The thesis screened anti-arthritic phytochemicals. I tested roughly 3,000 candidate compounds against rheumatoid arthritis targets. That project set the direction I still follow. I use computation to accelerate discovery in complex disease biology.

Alongside my PhD I mentor independent-study and research-assistant students. I help deliver graduate and undergraduate courses in the Kovalchuk lab. I also work on applied data science and AI-evaluation projects in industry. I want to lead a research program across transcriptomics, epigenomics, systems biology, and AI-enabled biomedical discovery.

I integrate transcriptomics, systems biology, and data science to find clinically relevant biomarkers and build reproducible computational pipelines.

Sweta Rai
PhD Candidate in Biological Sciences (Bioinformatics)

Research interests

  1. Multi-omics integration
  2. Transcriptomics analysis
  3. Rheumatoid arthritis biomarker discovery
  4. Machine learning for biomarker discovery
  5. Molecular docking and cheminformatics
  6. Systems biology
  7. AI for biomedical discovery
  8. AI based web application development