I'm a graduate student at Sharif University of Technology, currently specializing in bioinformatics. My academic journey began with a bachelor's in survey engineering; however, my passion for coding, biology, and chemistry inspired me to change course and pursue a field that perfectly blends these interests.
Below, you'll find an overview of my research and academic pursuits. Please feel free to contact me if you have any questions or if you'd like to discuss potential collaboration opportunities.
- Artificial Intelligence in Drug Design: Leveraging deep learning techniques to revolutionize drug discovery and developing end-to-end pipelines.
- Protein-Ligand Interactions: Predicting protein-ligand binding affinities using advanced computational (in silico) models to aid in the identification of potential therapeutic compounds.
- Representation Learning: Utilizing language models and chemical fingerprints to create meaningful representations of molecular structures for improved predictive modeling.
I am currently engrossed in writing my thesis on protein-ligand affinity prediction using deep learning models. My work involves:
- Developing and refining neural network architectures to accurately predict binding affinities.
- Exploring the integration of language models and chemical informatics to enhance molecular representations.
- Applying representation learning techniques to capture intricate patterns in molecular data.
- Programming Languages: Python, R (a little bit)
- Machine Learning Frameworks: PyTorch, scikit-learn
- Data Analysis Tools: Pandas, NumPy, Matplotlib
- Molecular Modeling Tools: RDKit, Open Babel, VMD, Spartan, Gaussian, Discovery Studio, AutoDock and More!
I'm continually expanding my knowledge in:
- Advanced Deep Learning Techniques: Such as attention mechanisms, graph neural networks, and LLMs.
- Computational Chemistry and Cheminformatics: To better understand molecular interactions and properties.
I'm keen to collaborate on projects that involve:
- Developing AI-driven solutions for drug design, discovery, and repurposing as well as moelcular property prediction.
- Creating open-source tools that facilitate computational biology research.
- Exploring interdisciplinary applications of AI in healthcare and biotechnology.
For more information, check out my webpage