Geethanjali Karuturi

# Bioinformatics Graduate Student

Location United StatesDesired Salary UnspecifiedWork preference Full Time, InternshipLinksNot setStatus   Actively looking Field / Industry Software Engineering

* SharePreferences:Relocation: NoNotice Period: ImmediateSkill Assessments:This user has not passed any tests yet

Languages:  English -

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[Overview](#overview)

## About Me

I am a bioinformatics graduate student with hands-on experience in scRNA-seq, RNA-seq, spatial transcriptomics, and scATAC-seq analysis. I have worked on end-to-end NGS workflows that include quality control, read alignment, quantification, differential expression, batch-effect correction, and cell-type annotation using R and Python.

I have developed multi-omics integration approaches to align tens of thousands of cells across platforms and improve cross-modal correspondence. My work includes using tools such as Seurat, DESeq2, STAR, FASTQC, Scanpy, and optimal transport-based methods to support reproducible genomic analysis pipelines in Linux-based environments.

In my current research roles, I collaborate with wet-lab and translational R&D teams to process high-dimensional spatial and single-cell datasets. I also optimize computational workflows through parameter tuning and parallelization, and I evaluate alignment performance using statistical and machine learning metrics.

Alongside research, I have experience as a teaching assistant, where I support students in applied programming for biomedical data analysis. I help with Python programming, data analysis, bioinformatics lab exercises, grading, and academic support.

My technical background spans programming, bioinformatics, database work, pathway analysis, and data visualization. I have also completed projects in survival analysis, biomarker classification, gene expression analysis, algorithm comparison, and database design, which strengthened my analytical and problem-solving skills.

I am motivated by research-driven work at the intersection of biology, computation, and data science. I enjoy building scalable analysis pipelines, interpreting complex biological data, and contributing to projects that advance biomedical discovery.

## Skills

### [Python](https://jobicy.com/talent/python.md)[SQL](https://jobicy.com/talent/sql.md)[Machine Learning](https://jobicy.com/talent/machine-learning.md)[Git](https://jobicy.com/talent/git.md)[Troubleshooting](https://jobicy.com/talent/troubleshooting.md)[MySQL](https://jobicy.com/talent/mysql.md)

## Education

Indiana University, Indianapolis  Dec 2026  Master of Science in Bioinformatics

Graduate program in bioinformatics.

Acharya N.G. Ranga Agricultural University (ANGRAU), India  Aug 2019 - Jul 2024  Bachelor of (Hons) Agriculture

Undergraduate degree in agriculture.

## Experience

Graduate Research Assistant @ Wang Lab, Department of Bioinformatics, Indiana University  Aug 2025 - Present Process and analyze high-dimensional spatial and single-cell datasets using Python-based tools. Apply optimal transport-based methods to align RNA and ATAC modalities, generate gene activity matrices, perform clustering and visualization, optimize workflows on Linux systems, and evaluate alignment performance.

Research Assistant @ Indiana University School of Medicine - Herman B Wells Center for Pediatric Research  Aug 2025 - Present Performed mouse tail lysis, genomic DNA extraction, PCR amplification, agarose gel electrophoresis, tissue collection, homogenization, and Western blotting. Processed 10-30 mouse samples per experiment while maintaining sterile technique, biosafety compliance, and accurate records.

Teaching Assistant - INFO-B 473: Applied Programming for Biomedical Data Analysis @ Luddy School of Informatics, Indiana University  Aug 2025 - Dec 2025 Guided students in applied programming for biomedical data analysis, assisted with Python programming and bioinformatics lab exercises, graded assignments, and provided academic support.