As a staff machine learning scientist at Project Ronin, I apply my expertise in machine learning and big data to develop and deploy solutions that enhance the quality and efficiency of cancer care. I have over 10 years of experience in this domain, working with technologies such as TensorFlow, Keras, Spark, and AWS.I am passionate about using data science to make a positive impact on the lives of patients and clinicians. I collaborate with a multidisciplinary team of engineers, scientists, and oncologists to design, implement, and evaluate innovative models and algorithms that support clinical decision making, optimize treatment outcomes, and generate insights from complex and heterogeneous data sources. I also contribute to the continuous improvement of our machine learning platform and best practices, ensuring scalability, reliability, and performance.