About me

I am a Computer Science Ph.D. student at UCLA with a strong background in Algorithms, Machine Learning, Computational Biology, and AI, demonstrated through published research in top-tier conferences and journals in the field of healthcare and genomics.

Research

• Machine Learning
• Genomics/metagenomics
• Algorithms
• Deep Representation Learning

Work experience

• Graduate Student Researcher, UCLA ZarLab
  2024 – present
• AI Research Scientist Intern, LG U+
  Summer 2025
• Undergraduate Research Assistant, USC Mangul Lab
  2022 – 2024

Selected Publications

• VISTA: an integrated framework for structural variant discovery
  Briefings in Bioinformatics, 2024.
  Varuni Sarwal*, Seungmo Lee*, Jianzhi Yang, Sriram Sankararaman, Mark Chaisson, Eleazar Eskin, Serghei Mangul.
  Paper
• BioinformaticsBench: A collaboratively built large language model benchmark for Bioinformatics reasoning
  AccMLBio @ ICML 2024.
  Varuni Sarwal, Seungmo Lee, Rosemary He, Aingela Kattapuram, Xiaoxuan Wang, Eleazar Eskin, Wei Wang, Serghei Mangul.
  Paper
• A blended genome and exome sequencing method captures genetic variation in an unbiased, high-quality, and cost-effective manner
  bioRxiv, 2024.
  Preprint

Talks

• VISTA: an integrated framework for structural variant discovery
  RECOMB 2024, Cambridge, MA.
• VISTA: an integrated framework for structural variant discovery
  ISMB 2024, Montreal, Canada.
• A K-mer Masking Approach for Improving Specificity in Metagenomic Pathogen Detection
  RECOMB 2025, Seoul, South Korea.

Teaching

• CS 121/221: Probabilistic Models in Computational Genomics, Fall 2025
  Computer Science Department, UCLA.
• CS 122/222: Algorithms in Bioinformatics, Winter 2025
  Computer Science Department, UCLA.

CV

Will post soon.