Kacar, Sedat

Sedat Kacar, PhD

Postdoctoral Researcher (Bioinformatics Scientist)

*Specialized in single-cell RNA sequencing

Phone
(317) 835-5353
Address
R3 C445
PULM
IN
Indianapolis, IN
LinkedIn:
PubMed:
GoogleScholar:
GitHub:
ORCID:
WebOfScience:

Bio

Dr. Sedat Kacar is a postdoctoral researcher in the field of Bioinformatics at Indiana University's Division of Pulmonary, Critical Care, Sleep, and Occupational Medicine, where he specializes in single-cell RNA sequence and spatial transcriptomics in pulmonary-associated diseases including pulmonary hypertension, hypoxia, sickle cell, and others. With 10+ years of experience bridging wet lab research and bioinformatics, he brings a unique interdisciplinary skill set to computational biology. His foundation in Molecular Biology and Genetics, combined with extensive hands-on single-cell and spatial transcriptomics expertise, allows him to uncover novel biological insights from high-dimensional data. At Indiana University, he specializes in single-cell RNA and spatial transcriptomics (Stereo-seq, Parse Biosciences, 10x Genomics), utilizing tools like Seurat (R) and Scanpy/Squidpy (Python) for robust analysis and visualization. His work includes developing single-cell atlases, identifying rare cell populations, and integrating multimodal datasets to reveal disease mechanisms. He thrives on bridging computation and biology, transforming complex raw data into actionable insights for experimental biologists and clinicians.

His transferable skills are:
✅ Single-Cell & Spatial Transcriptomics Expertise – Extensive experience in single-cell RNA-seq and spatial transcriptomics analysis, applying computational tools to decipher cellular heterogeneity in health and disease.
✅ Advanced Data Science & Bioinformatics – Skilled in Seurat, Scanpy, Squidpy, and multi-modal data integration, with a strong command of differential expression analysis, clustering, trajectory inference, and pathway analysis.
✅ Interdisciplinary Research & Collaboration – Proven ability to collaborate with experimental biologists, clinicians, and computational scientists, facilitating data-driven discovery in biomedical research.
✅ Scientific Communication & Mentorship– Experience in publishing high-impact research, writing manuscripts, and mentoring junior researchers in bioinformatics workflows.