Supplementary Information
S1. Author note
A biographical letter from the corresponding author.
Department of Biological Sciences
University of Lethbridge
Lethbridge, Alberta, Canada
Plate I

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
- Multi-omics integration
- Transcriptomics analysis
- Rheumatoid arthritis biomarker discovery
- Machine learning for biomarker discovery
- Molecular docking and cheminformatics
- Systems biology
- AI for biomedical discovery
- AI based web application development