People

The group.

Prof. Shandar Ahmad

Prof. Shandar Ahmad

Principal Investigator

Trained as a physicist, working in bioinformatics since 2002. His contributions include first-generation sequence-based prediction of DNA-binding sites and proteins, free-energy and conserved-residue analyses of protein–DNA complexes, and the classification of conformational change on complex formation.

“Science, poetry and pretentious thinking are all my passions — of which I chose the first as a profession.”

Members

Abha Pandey

Abha Pandey

Msc. Intern · Performance evaluation of computational methods to model native-like structures from sequences and DNA-bound complexes
Ajay Arya

Ajay Arya

PhD Scholar · Data-driven modeling of protein-DNA interactions and transient residues using sequence, expression, and conformational dynamics.
Ajay Kumar

Ajay Kumar

PhD Scholar · Machine learning for cross-species multi-omic mapping and translational drug-response prediction.
Ajay Kumar Verma

Ajay Kumar Verma

PhD Scholar · Bioinformatics analysis of gene expression data
Akash Ajay

Akash Ajay

PhD Scholar · spontaneous mutation dynamics and how genomic and environmental factors shape them
Ananya Sourav

Ananya Sourav

Msc. Intern · Data curation and analysis of CRC-patient specific PDX data.
Anjali Shahi

Anjali Shahi

Msc. Intern · High-throughput NGS analysis and statistical modeling of Topologically Associating Domains (TADs) to map 3D genome architecture
Ankesh Kumar Pandey

Ankesh Kumar Pandey

Research Technician · Domain-invariant deep learning for mammography, digital pathology (WSI), and RNA-seq bioinformatics.
Anuja Jain

Anuja Jain

PhD Scholar · Molecular oncology of head and neck cancer and whole-genome drug-resistance prediction in Mycobacterium.
Arfa Jabin

Arfa Jabin

PhD Scholar · Decoding tumor biology and advancing precision oncology through multimodal AI, digital pathology, and omics integration.
Ariba

Ariba

Msc. Intern · AI for Biology & Protein Language Models | Biological Sequence Analysis, Evolutionary Profiles & Representation Learning
Arya Sahay

Arya Sahay

Msc. Intern · Population Specific Adaptation of DNA Language Models for the Indian Genome
Dana  mary Varghese

Dana mary Varghese

PhD Scholar · Context specific prediction of moonlighting proteins
Mansi Acharya

Mansi Acharya

Research Technician · Single-Cell Multi-Omics (scHi-C & scRNA-seq) | 3D Chromatin Architecture, Graph Modeling & Gene Regulation
Meenakshi Bhat

Meenakshi Bhat

Postdoctoral Research Scientist · Diagnosis and Characterization of Neurodevelopmental Disorder Using Artificial Intelligence
Neha Gupta

Neha Gupta

PhD Scholar · Transcriptomic Foundation Models | LLM Interpretability, Benchmarking & Gene Expression Representation
Neha Vinayak

Neha Vinayak

PhD Scholar · Data-Efficient Medical Image Analysis via Sparse Deep Learning and Hybrid Quantum-Classical Architectures
Nimmi Nelson

Nimmi Nelson

Research Intern
PALLAVI SINGH

PALLAVI SINGH

Msc. Intern · Comparative analysis of peptides and small molecule ligands targeting for common proteins.
Paridhi Saxena

Paridhi Saxena

Msc. Intern · Uncovering the structural basis of bacterial function and M. tuberculosis virulence through comparative 3D genomics and Hi-C analysis
Pratiksha Gayan

Pratiksha Gayan

Msc. Intern
ROSHAN KUMAR SHRIDHAR

ROSHAN KUMAR SHRIDHAR

Research Technician · Docking & ML for tuberculosis drug resistance
Ruchir Malik

Ruchir Malik

Research Intern
Sambhav Jain

Sambhav Jain

Research Intern
Saumya Priyadarshini

Saumya Priyadarshini

Research associate · Non-Invasive Prenatal Testing (NIPT) | WGS Workflow Optimization, HPC & Dimensionality Reduction
Seema Rani

Seema Rani

Research associate · Dimensionality Reduction of Genomic and Transcriptomic Data Sets.
Shikha Mittal

Shikha Mittal

Post doctoral Research Fellow · Structural & Immunological Mechanisms of Innate Nucleic Acid Receptors in Drug Discovery.
Sourav Goswami

Sourav Goswami

Msc. Intern · Investigation of a relationship between genomic co-localization and co-expression of genes
Tina Begum

Tina Begum

Research associate · Comparative & Evolutionary Genomics | Machine Learning, TLR Structural Specificity & Mutation Dynamics
Manisha Kalsan

Manisha Kalsan

Postdoctoral Research Scientist · Decoding transcription factor specificity and gene regulation through DNA sequence/shape, 3D chromatin architecture, single-cell/spatial multi-omics, and AI.
Richa Mishra

Richa Mishra

PhD Scholar · Protein-DNA interactions and drug discovery
Shruti Gupta

Shruti Gupta

PhD Scholar · AI-driven research across transcriptome harmonization (MPGEM), spatial single-cell integration, and cancer treatment modeling.
M. SAKIB ABDULLAH

M. SAKIB ABDULLAH

Msc. Intern
Divyangana bathla

Divyangana bathla

PhD Scholar · AI/ML modelling of pan-pathogen drug resistance
Sadiya Mirza

Sadiya Mirza

PhD Scholar · Machine learning and large-scale genomic analysis of genome architecture across species, tissues, and developmental stages.
Vikash K. Mohani

Vikash K. Mohani

PhD Scholar · AI for brain health & single-cell transcriptomics
H

Harshika

Research Associate · Drug-resistance prediction in tuberculosis
R

Renuka

Research Associate · Host–pathogen protein interactions in tuberculosis
R

Rishabh Ptel

Research Associate · Machine learning on tuberculosis data

Collaborations

Who we work with.

Partners across developmental biology, structural bioinformatics, cancer systems biology, tuberculosis genomics and prenatal diagnostics — overseas, across India, and within JNU. Click a partner for details.

Overseas

India (outside JNU)

At JNU