Bioinformatics Researcher
I build context-aware computational biology systems for sequencing data, chromatin accessibility, regulatory networks, and deep-learning models that understand biological context.
Bioinformatics, Deep Learning, and Regulatory Genomics
Bridging biology and computation to decode life's regulatory logic
I focus on building deep learning systems that respect biological context. My work involves modeling how transcription factors and RNA-binding proteins interact with the genome and transcriptome, using multi-modal data integration.
Currently at CSIR-IHBT, I am developing context-aware prediction frameworks for TF binding and RBP sites, combining sequence information with chromatin accessibility and expression profiles.
PyTorch, PyG, AlphaFold, CNNs, Graph Transformers
RNA-seq, CLIP-seq, ChIP-seq, ATAC-seq workflows
TF Binding, Causal GRNs, Chromatin Accessibility
Linux/Ubuntu, Bash, Git, Python, R, MySQL
Foundations in microbiology and bioinformatics
Devi Ahilya Vishwavidyalaya, Indore
Pursuing advanced studies in computational biology, multi-omics, and machine learning. Specializing in regulatory genomics and deep learning applications.
Acropolis Institute, Indore
Built a strong foundation in molecular biology, genetics, and laboratory techniques. Graduated with honors and a focus on microbial systems.
Deep learning systems for biological discovery
DualStream-ATAC regresses log2 fold-enrichment ATAC-seq signals from DNA sequence and RNA-seq derived multi-gene context vectors.
Genome-wide RNA-seq causal network inference pipeline using knockoff selection, MB-LASSO, and directed acyclic edge orientation.
End-to-end workflow for quality control, alignment, and differential expression analysis for high-throughput sequencing data.
Dissertation work applying DenseNet and transformer-style approaches to predict RNA-binding protein binding sites.
Sharing research with the global scientific community
My abstract on "Context-aware deep learning for transcription factor binding prediction" has been accepted for presentation at the International Conference on Computational Omics and Precision Medicine (COPM 2026).
The tools powering my research
A compact view of experience, research, and skills
Bioinformatics Researcher
CSIR-IHBT, Palampur | 2025 - Present
Python, R, PyTorch, scikit-learn, BioPython, tidyverse, PyG, CNNs, Transformers
STAR, HISAT2, Bowtie2, SRA Toolkit, Trimmomatic, FastQC, MultiQC, Bioconductor
RNA-seq, CLIP-seq, ChIP-seq, ATAC-seq, Causal GRNs, Chromatin Accessibility
Open to PhD opportunities and collaborative research