Deepshikha Tiwari

Dedicated and enthusiastic Computational Biologist with a B.Tech in Biotechnology and M.Tech in Computational Biology, experienced in bioinformatics, transcriptomic analysis, RNA-Seq workflows, and computational data analysis. Skilled in utilizing computational and analytical methods to address biological challenges, with strong research capabilities and problem-solving skills. Passionate about contributing to impactful scientific research and advancing knowledge in interdisciplinary fields.

Project Associate-1 - CSIR-Institute of Genomics and Integrative Biology - Delhi, INDIA

(2025-06 - 2025-08)

• Identified novel CRISPR–Cas genes using Hidden Markov Model (HMM)-based profile searches and comparative genomics.
• Analyzed genomic datasets to characterize CRISPR-associated proteins and support gene-editing research.

Major Project - The Translational Biology Lab, Indraprastha Institute of Information Technology - Delhi, INDIA

(2024-08 - 2025-08)

• Conducted transcriptomic analysis to study the therapeutic effects of medicinal plant extracts in non-alcoholic fatty liver disease (NAFLD).
• Identified differentially expressed genes and pathways linked to lipid metabolism, oxidative stress, and inflammation.
• Performed functional enrichment and network analysis to understand hepatoprotective mechanisms.
• Contributed to understanding the molecular effects of plant-based interventions in NAFLD.

Minor Project - The Translational Biology Lab - Delhi, INDIA

(2024-04 - 2024-08)

• Evaluated the hepatoprotective effects of bioactive plant extracts using liver cell lines and rodent models through Oil-Red O staining, oxidative stress biomarker analysis, and literature-based mechanistic interpretation.

Minor Project - The Neurocare Lab - Delhi, INDIA

(2024-10 - 2024-11)

• Developed and optimized an XGBoost-based machine learning model using molecular descriptors from 7,800 compounds to predict blood-brain barrier permeability, achieving 87.6% precision and 0.947 ROC-AUC, with performance validation against logistic regression and SVM models.

Minor Project - The Microbiome Lab - Delhi, INDIA

(2023-09 - 2023-10)

• Designed a comprehensive computational metagenomics workflow for 16S rRNA sequencing analysis involving read quality control, chimera detection, taxonomic profiling with SPINGO and DADA2, microbial diversity assessment, and comparative abundance analysis of gut microbiome datasets.

Minor Project - The Microbiome Lab - Delhi, INDIA

(2024-09 - 2024-10)

• Conducted comprehensive microbiome data analysis by integrating diversity metrics, statistical correlations, PERMANOVA, and multiple-testing correction methods to uncover significant relationships between microbial species and host clinical metadata.

Major Project - The Molecular Medicine Lab, Sanjay Gandhi Postgraduate Institute of Medical Sciences - Lucknow, Uttar Pradesh, INDIA

(2023-01 - 2023-07)

• Conducted detection of the JAK2 V617F mutation in myeloproliferative neoplasms using ARMS-PCR through DNA isolation, allele-specific amplification, and gel electrophoresis-based validation.

Master of Technology - Computational Biology - Indraprastha Institute of Information Technology

Bachelor of Technology - Biotechnology - KMC Language University