Daniel Chen

Daniel Chen, a data scientist at Lander Analytics and PhD candidate at Virginia Tech, shares his expertise in data science and computational biology. He highlights the importance of robust project organization and effective version control in data science. Daniel also discusses the integration of AI in medicine, particularly in epidemiology and medical imaging. Plus, he emphasizes reducing coding dependencies and maintaining data integrity as key to successful projects. His insights tie into the upcoming R Conference, making for an enlightening conversation.