Machine Learning Research Scientist
In my research journey, I thrive on innovation, blending biomedical sciences with the transformative power of AI.
I specialize in advanced machine learning techniques, including deep learning, graph neural networks, generative models, and transformers. My research revolves around making predictions with complex multimodal data, spanning applications in biomedical imaging, cancer diagnosis, computational/structural biology, and drug discovery research. While my primary focus has been in these domains, I am also keenly interested in exploring applications in computer vision, natural language processing, genomics, environmental science, robotics, and autonomous driving.
In this post, we present the new technology developed at Cyclica Inc. in collaboration with Dr. Bo Wang’s group at Vector Institute for protein residue characterization using protein structures provided in AlphaFold2 Database.
The numbers on the whiteboard tell an interesting tale, even if they can only be understood by a few ...
Dr. Ali Madani and Dr. Nasim Abdollahi discuss how they used graph neural networks in characterizing protein residues for tasks like ligand or peptide binding or identifying transmembrane domains.
Let's collectively advocate for 17 Global Goals!
