I am Zuolong Zhang, currently pursuing a Master's degree in Network and Information Security at the School of Software, Henan University. My academic journey began with an undergraduate degree from the College of Information Engineering, Henan University of Science and Technology, where I excelled with a GPA of 4.43 and received several honors.

My research interests lie at the intersection of artificial intelligence and biomedicine, focusing on drug-target interaction prediction, single-cell chromatin conformation capture analysis, and the development of drug combination side effect prediction models. I have developed innovative methods such as HeteroDTA, GraphkmerDTA, and ComNet, which have significantly advanced the fields of drug discovery and combination predictions. These methods have demonstrated superior performance on benchmark datasets and have been validated through real-world applications. I have actively shared my research findings at prestigious conferences, including an oral presentation at the International Conference on Intelligent Systems for Molecular Biology (ISMB), where my work was nominated for the best paper award.

I also lead a team that developed a cloud-based intelligent AI drug screening platform and achieved excellent results in multiple algorithm competitions. My technical skills include proficiency in programming languages such as Python, Java, and C/C++, as well as expertise in scientific computing and cheminformatics tools. I am experienced with the PyTorch deep learning framework, which I use to develop advanced AI models for drug discovery.

As I look towards the future, I am passionate about pursuing a Ph.D. starting in the Fall of 2025, with a focus on AI for Medicine and AI for Drug Discovery. I am eager to collaborate with experts and contribute to groundbreaking research in these fields. Please feel free to contact me at [email protected].

• July 2024: Attended the International Conference on Intelligent Systems for Molecular Biology (ISMB) in Montreal, where my paper was accepted for an oral presentation and nominated for the best paper award.
• July 2024: My team won a national award in the "Challenge Cup" National College Student Business Plan Competition and third prize in the "Duzheng Cup" Biomedical AI Innovation Application Competition.
• June 2024: Proposed a drug-drug interaction (DDI) prediction model named ComNet, which improves the prediction accuracy and reliability of complex drug interactions.