Biomedical Data Science and Systems Modeling?

The lab's research aims to pioneer the integration of quantitative systems models with AI/machine learning approaches to uncover novel therapeutic strategies for cancer treatment. With a focus on deep learning techniques, we seek to seamlessly integrate large-scale datasets with patient outcome data, thereby elucidating intricate tumor dynamics and therapeutic responses.?

• Leverage innovative technologies like single-cell sequencing and deep learning
• Unravel the complexities of cancer biology and identify clinically relevant insights

We foster interdisciplinary collaboration through open communication and talent development, ensuring alignment among scientists across various fields. With a commitment to effective project management, our ultimate goal is to translate cutting-edge research findings into measurable improvements in patient outcomes, thereby advancing the forefront of cancer therapeutics.