hrushikesh malshikare

I am a Senior Research Fellow (SRF) and PhD candidate in biophysical chemistry, specializing in membrane protein interactions using multi-scale molecular dynamics (MD) simulations and artificial intelligence (AI)-driven analysis. My research focuses on understanding the dynamic behavior of proteins within cell membranes, exploring structural intricacies, lipid preferences, and their impact on cellular processes.

With expertise in machine learning (ML) and deep learning (DL), I develop computational models for antimicrobial peptide analysis and molecular property predictions. My skill set includes feature engineering, statistical analysis, and dataset curation, enabling data-driven insights into biological systems.

I have contributed to multiple peer-reviewed publications in high-impact journals, addressing membrane remodeling, protein-lipid interactions, and AI-powered molecular analysis. Additionally, I have hands-on experience in Python programming, shell scripting, and scientific communication, which I apply to both academic research and interdisciplinary projects, including AI applications in agriculture.

As a Visiting PhD Researcher at IIIT Hyderabad, I am further integrating AI into scientific research, pushing the boundaries of computational biology and chemistry. Passionate about advancing AI-driven methodologies in molecular science, I strive to bridge the gap between theoretical research and real-world applications.

I have over four years of research experience as a Senior Research Fellow (SRF) and PhD candidate at CSIR-NCL, Pune, specializing in biophysical chemistry and computational modeling. My work focuses on membrane protein interactions, lipid dynamics, and antimicrobial peptide analysis, leveraging multi-scale MD simulations and artificial intelligence (AI)-driven techniques. Through statistical analysis, machine learning, and deep learning, I have developed computational frameworks to investigate protein-lipid interactions and peptide activity predictions.

Additionally, I spent three months as a Visiting PhD Researcher at IIIT Hyderabad, where I applied AI and ML techniques to enhance scientific research in computational biology. This experience further strengthened my expertise in data-driven modeling, molecular descriptor analysis, and feature engineering for biological systems.

My research contributions include peer-reviewed publications on membrane remodeling, protein conformational dynamics, and AI-powered peptide classification, demonstrating my ability to integrate computational science, AI, and molecular biology for impactful discoveries.

I am currently pursuing a PhD in Biophysical Chemistry at CSIR-NCL, Pune, where my research focuses on membrane protein interactions, lipid dynamics, and AI-driven molecular analysis. As part of my PhD coursework, I have completed advanced courses in statistical mechanics, molecular simulations, computational chemistry, and artificial intelligence applications in molecular research, equipping me with a strong foundation in both theoretical and computational methodologies.

I hold a Master’s degree (MSc) in Organic Chemistry from Savitribai Phule Pune University (SPPU), where I gained expertise in organic synthesis, reaction mechanisms, and spectroscopy. My coursework covered key areas such as physical organic chemistry, spectroscopy, and advanced analytical techniques, providing a deep understanding of molecular behavior and chemical interactions.

Prior to that, I completed a Bachelor of Science (BSc) in Chemistry from Fergusson College, Pune, where I developed a solid grounding in fundamental chemistry, thermodynamics, and kinetics, laying the foundation for my transition into computational and biophysical research.