Sujit Silas Armstrong Suthahar

About Sujit Silas Armstrong Suthahar

I\'m Sujit Silas Armstrong a computational biologist with nearly six years of experience working at the intersection of biology, data science, and machine learning. I build scalable pipelines and analytical frameworks to make sense of complex biological datasets, with a focus on multi-omics integration (genomics, transcriptomics, and epigenomics) to drive discoveries in immunology, toxicology, and precision medicine.Lately, I’ve been exploring agentic AI architectures developing Model Context Protocol (MCP) servers and building production-ready ML/DL pipelines that operate across cloud platforms (AWS, GCP, Azure) and HPC clusters. I enjoy working at the boundary between engineering and biology, translating data into insights and prototypes into real-world solutions.Areas of Expertise:TCR Discovery • Systems Immunology • Epigenomics • Transcriptomics • Single-Cell Genomics • Computer Vision (Medical Imaging) • Cell Culturing • RNA/DNA Extraction • PCR • qPCR • Fluorescence Microscopy • NGS Data Analysis • MCP Servers • LoRA/QLoRA Fine-Tuning • Statistical Modeling • Policy Optimization • Bioinformatics Tools • ML/DL Applications in Genomics • Data Visualization • Pipeline & Algorithm Development • System DesignEmail: s••••••••@g.ucla.eduPortfolio: https://sujitsilas.github.io/

Experience

1. Phd Candidate

   Ucla Henry Samueli School Of Engineering And Applied Science

   Mar 2026 — Present

Education

• UCLA

  Doctor of Philosophy (PhD), Bioengineering

• UCLA

  Master of Science (MS), Bioengineering (Data Science)

  2025

• University of California, Riverside

  Bachelor of Science (BS), Biology (Honors)

  2021