Our lab is an interdisciplinary team of computational biologists, data scientists, and bioinformaticians. We are united by our mission to translate complex, multimodal data—from chemical structures to genomic pathways—into actionable biological insights.
Dr. Gaurav Ahuja Associate Professor (Tenured)
Department of Computational Biology
Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi)
Email: gaurav.ahuja@iiitd.ac.in
Lab Website: https://ahuja-lab.in/
About Me
I am a tenured Associate Professor at the Department of Computational Biology at IIIT-Delhi and lead the Chemical Biology Laboratory.
Our lab's core mission is to decode the "language of chemicals." We operate on the principle that a molecule's structure contains vast, predictive information about its biological function. Our goal is to translate that structural information into a deeper understanding of health, disease, and aging.
To do this, we develop and apply novel computational methods using AI, multimodal data integration, and emerging Large Language Models (LLMs). What sets our work apart is that we don't just look at chemical structures; we build models that represent molecules within a combined "bioactivity-chemical" space, enriching them with established biological knowledge like genes, mutations, and pathways.
I am also a core member of the Infosys Center for Artificial Intelligence and have been recognized as an EMBO Young Investigator and an Indian National Science Academy (INSA) Young Associate.
Associate Professor (Tenured), IIIT-Delhi
EMBO Young Investigator
Indian National Science Academy (INSA) Young Associates 2024
Co-chair, Bio-AI Hub, Initiative from DBT for BioAI Hub, India
Core member, Infosys Center for Artificial Intelligence, IIITD
Chair, Campus-Wellbeing Committee at IIITD
Expert in Computational Biology (Consultant), Rajiv Gandhi Cancer Hospital and Research Institute (Delhi)
Expert in Computational Biology (Consultant), Ceekr Private Limited, New Delhi
Meet the graduate students driving our mission forward. Each member is tackling a unique, high-impact challenge at the intersection of AI, chemistry, and biology.
Role: Graduate Student
Research Focus: Understanding the chemical basis of longevity responses, with a special interest in using Large Language Models.
Role: Graduate Student
Research Focus: Understanding the multivalent-multi-targeting potential of cellular metabolites.
Role: Graduate Student
Research Focus: Developing novel models in the field of computer vision using Deep Learning.
Role: Graduate Student
Research Focus: Genotoxic research using a combination of next-generation sequencing (Nanopore) and generative AI-based computational methods.
Role: Graduate Student
Research Focus: Exploration of the "Dark Matter" of the Chemical World.
Role: Graduate Student
Research Focus: Developing novel computational methods for the better representation of chemical compounds for downstream Machine Learning applications.
Role: Graduate Student
Primary Focus: Development of sophisticated methods involving knowledge graphs and Large Language Models.
Role: Graduate Student
Primary Focus: Development of Clinical grade Genomics Platforms and Methods
Role: Graduate Student
Primary Focus: Development of sophisticated LLM-based methods.
Role: Graduate Student
Primary Focus: Decoding the Dark Chemical Matter