Praveen Kumar Guttula

• · Conducted Research on studying dynamics of Muscle Regeneration using single cell RNA seq (scRNA) data and studying the cell proportions and clustering of the cell types based on the annotation.
• Multitasking the projects by writing and running the codes
• Integrating the data to find a Boolean logical model that explains the different states in satellite cells (Quiescent, Activated and Differentiated).
• · Cell-Cell communication analysis between different cell types in the satellite cell environment to study the muscle regeneration
• · Working on several other single-cells omics studies and machine learning.
• · Modified existing software tools on single cell omics data to enhance performance of the existing features and add new features.
• · Communicated research results through conference presentations, scientific publications and project reports.
• Completed analysis of data acquired from research and verified careful documentation of information
• Designed and carried out complex laboratory experiments to assess effectiveness of data
• Collaborated with professionals in muscle research to advance research and gain deeper understanding of topics
• Wrote and published peer-reviewed articles concerning findings and highlighted possible applications for findings

• Analysis of Acute Myeloid Leukemia (AML) samples (NGS Data) for the identification of mutations.
• Variant analysis (DNA-seq data analysis) to find the mutations associated with Acute Myeloid Leukemia.
• RNA seq data analysis of control samples and AML samples to identify the Biomarkers.
• Survival analysis of the Cancer data using R Programming (in house data).
• Managed time efficiently in order to complete all tasks within deadlines.
• Strengthened communication skills through regular interactions with others.
• Resolved problems, improved operations and provided exceptional service.
• Demonstrated creativity and resourcefulness through the development of innovative solutions.

• Conducted Research on Project entitled “Molecular Mechanism of Pluripotency in Testicular Stem cells-An in silico Study.
• Presented talks at National and International level conferences, speaking about research topics of interest and related subjects.
• Supported and supervised students in Bioinformatics research programs from brainstorming areas for potential research through publishing papers on completed projects.

Focused on logical modeling of Boolean Networks for understanding pluripotency in testicular stem cells (Germline stem cells to Germline pluripotent stem cells, showcasing skills in network analysis and Boolean models development using GINsim.

• Worked on Project entitled “Bioinformatics Infrastructure Facility” and played a major role in Maintaining Bioinformatics Laboratory.
• Performed experiments and conducted research to study impacts of pollution on animal and plant species.
• Mentored junior researchers, providing guidance on study design and data analysis techniques for successful project outcomes.
• Organized workshops and seminars to foster knowledge exchange among colleagues and promote professional development opportunities.
• Authored professional scientific papers for publishing in peer-reviewed journals.