Sujit Silas Armstrong Suthahar Email and Phone Number
Hello! I'm Sujit Silas, a computational biologist with close to five years of experience in the field. I have a robust research track record and exceptional analytical skills, which have helped contribute to various projects at the intersection of biology and informatics.I'm currently pursuing a Master's degree in Bioengineering at the Henry Samueli School of Engineering, UCLA, where I also serve as a Graduate Student Researcher (GSR) at the Allard Laboratory. My research focuses on transgenerational toxicity, leveraging coupled matrix factorization methods to uncover new insights.In the summer of 2024, I interned at GRAIL as a Computational Biology and Machine Learning Scientist, investigating false positives and developing advanced visualization tools to improve interpretability in DNA methylation analysis.Prior to my master's, I worked as a Bioinformatics Specialist at the La Jolla Institute for Immunology, where I led bioinformatics initiatives under the mentorship of Klaus Ley, MD. I analyzed a wide range of next-generation sequencing datasets to identify genetic markers in inflammatory diseases, with efforts focused on standardizing and optimizing pipelines, contributing to over 10 high-impact publications.I am committed to utilizing my expertise to drive meaningful advancements in the life sciences. I welcome collaborations and opportunities to delve further into this captivating realm. Let's connect and explore the endless possibilities together!Email: sujitsilas@g.ucla.edu
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Phd StudentUcla Henry Samueli School Of Engineering And Applied ScienceLos Angeles, Ca, Us
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Graduate Student ResearcherUcla Henry Samueli School Of Engineering And Applied Science Sep 2023 - PresentResearch Advisor: Dr. Patrick Allard• Spearheaded alignment and analysis of RRBS, WGBS, ATAC-seq, and RNA-seq data reducing turnaround times by 25%; analyzed bisulfite sequencing data and RNA-seq data using matrix factorization methods identifying key regulative elements• Devised NextFlow pipelines for both local and distributed computing environments, enhancing reproducibility while reducing data preprocessing times by 30% of bioinformatics workflows• Created a user-friendly HTML-based custom bash script generator specifically for nf-core pipelines, empowering non-expert users to effortlessly submit and manage jobs on high-performance computing clusters -
Comp Bio / Machine Learning InternGrail Jun 2024 - Sep 2024Menlo Park, California, United States• Optimized classifier features and Galleri assay probes by implementing a novel false positive investigation toolkit increasing cell-free DNA detection sensitivity for a few early-stage cancer types by 8%• Deployed a genome annotation pipeline reducing non-specific probe selection by 10% through DMR analysis, resulting in a revamped targeted panel and improved classifier features• Refactored functions, updated pipelines, and landed two merge requests related to development of two vignettes and false positive analysis workflow -
ResearcherUcla Health Sep 2023 - Jun 2024Los Angeles, California, United StatesResearch Advisor: Dr. William Speier• Implemented an ensemble-based deep learning model using multiple instance learning, achieving 76% diagnostic accuracy for indeterminate thyroid nodules—a 25% improvement over traditional methods and decreasing unnecessary biopsies• Leveraged CUDA architecture to accelerate deep learning model training on GPUs within a High-Performance Computing (HPC) environment, cutting down processing time and improving model iteration speed• Developed an advanced U-Net architecture featuring enhanced skip connections and integrated image preprocessing techniques achieving a sensitivity of 60% in biopsy needle segmentation problems for medical imaging -
Bioinformatics SpecialistLa Jolla Institute For Immunology Jun 2021 - Jul 2023San Diego, California, United StatesResearch Advisor: Klaus Ley, MD• Wrote custom bash scripts for automating pipelines for sequencing data alignment and preprocessing (scRNA-seq, CITE-seq, TCR-seq, RNA-seq), reducing processing time by 40% while standardizing alignment and preprocessing protocols• Led end-to-end NGS pipeline development for RNA-seq and scRNA-seq analysis workflows using DESeq2, EdgeR, Seurat, and other packages performing comprehensive data exploration and visualization to derive biological insights from bulk and single-cell datasets• Developed and applied a computational method to validate and optimize antibody titration concentrations for a panel of 124 antibodies used in CITE-seq experiments, improving accuracy and reliability of multi-omics data integration• Designed a statistical framework for analyzing 348,000+ TCR sequences from CVD PBMC samples, identifying 672 APOB-reactive T-cell clones and 532 conserved motifs, tracking disease-specific T-cells across donors• Developed and deployed machine learning solutions for characterizing new cell types in single cell RNA-seq data, including implementing a SVM classifier to identify novel ex-T Regulatory cell populations in CD4T sub-clusters• Spearheaded cross-functional research projects leveraging Python/R for statistical analysis, establishing streamlined workflows for data-driven discoveries contributing to over 12+ publications, including 4 first-authored publications in top journals -
Research Assistant - Martin Garcia Castro LabUniversity Of California, Riverside Sep 2019 - Jun 2021University Of California, RiversideResearch Advisor: Dr Martín I. García-Castro• Conducted in-depth mRNA transcriptome analysis using R and Python, spearheading an independent research project comparing hESC transcriptomes of differentiating neural crest and ectodermal cells• Employed advanced protein modeling tools including Pymol, I-Tasser, PSIPRED, Robetta, and SAVES 6.0 to elucidate DNA- transcription factor (TF) interactions in early development, integrating molecular biology knowledge with computational approaches to gain novel insights -
Highlander Union Service AssociateUniversity Of California, Riverside Sep 2018 - Jul 2020Riverside, California, United States
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Marketing DirectorDanish Display Aug 2020 - Jan 2021Kodaikanal, Tamil Nadu, India• Conceptualized and executed a brand re-design, elevating product, and store appeal, driving a 30% increase in revenue• Promoted digital marketing efforts, including website optimization and social media engagement, achieving a 46% growth in followers, and revamping business visibility• Led influencer marketing strategy across 10+ partnerships, leveraging data analytics to revamp campaign ROI, resulting in 25% revenue growth and 3X engagement rates within 4 months
Sujit Silas Armstrong Suthahar Education Details
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Biology, Honors
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Bio/Chem/Lang&Lit Hl | French/Psych/Math Sl
Frequently Asked Questions about Sujit Silas Armstrong Suthahar
What company does Sujit Silas Armstrong Suthahar work for?
Sujit Silas Armstrong Suthahar works for Ucla Henry Samueli School Of Engineering And Applied Science
What is Sujit Silas Armstrong Suthahar's role at the current company?
Sujit Silas Armstrong Suthahar's current role is PHD Student.
What schools did Sujit Silas Armstrong Suthahar attend?
Sujit Silas Armstrong Suthahar attended Ucla, University Of California, Riverside, Kodaikanal International School.
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