Priyansh P
Principal Scientist @Sidney Kimmel Comprehensive Cancer Center At Jefferson
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WORK HISTORY
Principal Scientist @Sidney Kimmel Comprehensive Cancer Center At Jefferson
Philadelphia, PA, US
Bioinformatician in an RO1 granted research facility to study RNA Decay and its dysregulation in neurodegeneration in a collaborative and supportive environment.Projects aligned in processing, analysis, and management of next-generation sequencing datasets such as Ribo-Seq and RNA-Seq from short- and long-read sequencing (Illumina and Nanopore)- Developed, optimized and maintained high-throughput RNA-seq pipelines using Snakelike for workflow automation and Singularity for containerization, enabling reproducible and scalable analysis- Executed comprehensive data processing, alignment, and quantification using samtools, BEDTools, custom scripts in Python/R, leading to enhanced genomic feature annotation. Also, used FastQC for checking 5TERA analysis and ribosomeOC for riboseg data- Conducted 5TERA and ribosome profiling across multiple species viz. human, yeast and mouse, facilitating comparative genomic studies. Analyzed and mapped complex multi-omics datasets using STAR, bowtie, HISAT2, and DESeq2, improving the accuracy of genomic and transcriptomic analyses- Working on Demultiplexing barcoded Oxford Nanopore reads with deep CNN, designing a CNN using TensorFlow and Keras, incorporating max-pooling, inception modules and global average pooling.
EDUCATION
University of Michigan-Dearborn
Master's degree, VLSI & Embedded Structure
Navrachana University
Bachelor's degree, Electrical and Electronics Engineering
The University of Texas at Dallas
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering
D.R.Amin Memorial School
High School
ABOUT PRIYANSH P
If your team could benefit from a goal-focused and resourceful professional with a proven history of success and achievement, then look no further!Hi, my name is Priyansh and I look forward to developing a comprehensive career in biotechnology. I am skilled at reviewing literature and scientific research findings to further pursue development in biomedical engineering field.I am recognized for outstanding technical, interpersonal, and communication skills. I have a flexible and stable work ethic that is underscored by a positive attitude towards operational excellence. I am acknowledged throughout career for demonstrating rational decision making; weigh facts and parlay the most pertinent information- Programming Skills : Perl (Advance), R (Advance), Python (Basic), shell/bash scripting (Intermediate)- Biostatistics: R, Python, Excel- OS platform: Linux, MacOS, Window OS, Cluster distributed computing (HPCC), Sun grid engine- Genomics: NGS data analysis (bulk seq, ChiP seq, miRNAs), Single-cell omics and integration, GWAS data analysis, Genetic risk prediction (polygenic/HLA etc),GSEA, IPA, pathways enrichment and ontology analysis, network analysis, and survival analysis etc.(BWA-mem, Bowtie, Hisat2, STAR, Kallisto, SAMtools, BAMTools, featurecounts, Deseq2, GATK, ANNOVAR, plink, bcftools, peakfinder, picard, seqMiner, BEDtool, macs2, Seurat, Scater/Scran, IPA, MetaCore, gprofiler2, DEVID, cellranger, cytoscape etc)- Machine learning and biostatistics: Feature selection, ML/DL model building and optimization, regression and classification model.(R, R- CART, H20, regression, bayesian, python-skitlearn, tensorflow, keras, pytorch, metpolite SPSS, Excel etc.)- Structural Biophysics: Protein and Nucleic Acid homology Modeling, Virtual Screening, Molecular Docking and MD Simulations studies, Free Energy Calculations, Macro-Molecular Interaction Studies, Pharmacophore Modeling, and 2D/3D-QSAR studies.(Protein modeling (modeler, I-TASSER), RNAmodel, vina, NAMD, VMD, antechamber (AMBER), GROMAC, MMGBSA, Schrodinger suit Packages)- Network Biology: Protein-Protein Interaction network, Protein- microRNA interaction, Centrality calculation, Co-expression network (WGCNA)(Cytoscape, WGCNA, IPA, igraph, BinGo etc)- Basic Bioinformatics and system biology: Sequence analysis, HPC distributed computing, Sun grid engine etc.(Linux, MacOS, ROCKS, sun-grid, Linux, etc
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