Well versed in AI, data mining and bioinformatics. Strong background in machine learning, statistical and network-based analysis. Research and industrial experiences in AI-oriented projects using high-dimensional (drug, target, and disease) data including multi-omics and chemical resources. Specialized in developing AI model and applications using deep learning, graph learning and reinforcement learning for biomedical problems, in cancer genomics and drug discovery, such as target identification and drug design.Professional Skills:Data Science | Machine Learning | AI | Bioinformatics | Genomic Data Analysis | Deep Learning | RL | Graph-based Deep Learning | Big Data Analysis on Spark Cluster | Knowledge Graph Database | Gene expression, SNPs, NGS Data Analysis | Drug Design by Generative ModelsDomain Knowledge:AI driven Drug Discovery | Cancer Genomics | Drug Design | Drug Repositioning | Target IdentificationIT Skills:Python | Golang | PySpark | Ray | Rdkit | |Rust | R | Angular | Google Cloud Platform | Federated Learning