About Me
Research Focus
My research integrates computational biology with machine learning to understand complex biological systems. I specialize in developing novel algorithms for analyzing biological data and creating predictive models for various biological phenomena.
With a strong foundation in both computational methods and biological sciences, I strive to bridge the gap between these disciplines to advance our understanding of complex biological systems and contribute to breakthrough discoveries in the field.
Computational Biology
Developing advanced algorithms for protein structure prediction and molecular dynamics simulations.
Machine Learning
Applying deep learning for biological data analysis and predictive modeling.
Chronophysics & Chronobiology
Studying biological rhythms and temporal dynamics in living systems.
Bioinformatics
Analyzing genomic data and developing computational tools for biological research.
Education & Experience
Education
Chronophyiscs & Chronobiology (Ph.D.)
Research focus on Chronophyiscs exploring the role of sleep in neurodegenerative diseases
M.Tech (Biotechnology)
Specialized in computational methods for biological data analysis and nanoparticle synthesis.
B.Tech (Biotechnology)
Foundation in biotechnology with focus on computational methods, experimental techniques and data analysis.
Research Experience
Har Govind Khorana Junior Research Fellow
I worked as a prestigious Har Govind Khorana Junior Research Fellow (JRF) at the Indian Institute of Science Education and Research (IISER), Kolkata, India in Dr. Susmita Roy's lab. I mainly worked at the interface of Machine Learning, Bioinformatics, Viral Evolution and Mutation, and Protein Biophysics.
Junior Research Fellow
I worked as a Junior Research Fellow (JRF) at the Indian Institute of Science Education and Research (IISER), Bhopal, India in Dr. Jeet Kalia's lab. My work focussed on the synthesis of Double Knot Toxins (DkTx) and its different variants and examine the role of these toxins in ion channel activation, specifically focussing on TRPV1 ion channel in the oocyte of Xenopus laevis.
Master Dissertation Student
I worked as a Master's dissertation student in Dr. Suhita Nadkarni's lab at the Indian Institute of Science Education and Research, Pune, India where my dissertation focussed on understanding the effect of stochasticity on neuronal signalling in healthy and diseased conditions of Alzheimer's.
My Projects
EVOLVE Platform
A comprehensive web platform for AI-based protein mutation prediction and evolutionary phase exploration. Features include interactive visualizations, real-time predictions, and detailed analysis tools.
Article Research Intelligence And Summarization (ARIAS)
ARIAS is a cutting-edge model that revolutionizes how we interact with research. It empowers users to effortlessly navigate through complex articles by providing comprehensive summaries and engaging in interactive conversations
Bioinformatics Pipeline
Automated pipeline for genomic data analysis and visualization with machine learning integration.
Recent Publications
EVOLVE: A Web Platform for AI-based Protein Mutation Prediction and Evolutionary Phase Exploration
Bacopa monnieri phytochemicals as promising BACE1 inhibitors for Alzheimers Disease Therapy
Machine Learning-Enhanced Drug Discovery for BACE1: A Novel Approach to Alzheimer's Therapeutics
Research Mentors
Dr. Svetlana Postnova
Associate Professor
University of Sydney
Computational Neuroscience, Chronophysics, Chronobiology
Dr. Susmita Roy
Associate Professor
IISER Kolkata
Computational Biology, Machine Learning, Protein Evolution
Dr. Jeet Kalia
Professor
IISER Bhopal
Chemical Biology, Ion Channels, Protein Engineering