I am an award-winning data science leader with board-certification in informatics and over 20 years experience in healthcare and health data tech. I am passionate about data-driven discovery with impact. I have led numerous enterprise-scale data science and analytics projects. I am proficient in Python, R, SQL, Tableau, and Stata. Among my accomplishments, I published the first systematic review of data science models vs. traditional tools predicting deterioration risk (with over 30 citations worldwide), and I received the 2019 UCSF Distinguished Dissertation Award.
I am currently serving as data science manager in the national offices of one the largest health systems; my team of data scientists excels at data-driven discovery and delivering business-critical insights on consumer behavior and experience; our work impacts critical strategic deliverables and informs C-level executives at the national level serving 10.6M members across eight U.S. markets.; our analytic capabilities include development and validation of AI/ML algorithms, prediction of service demands, topic modeling, anomaly detection, consumer segmentation, NLP, and business intelligence services (dashboards and reports). Our projects are large-scale efforts enabled by a high-performance computing infrastructure with an integrated data lake.
Key interests and expertise: AI and machine learning applications, predictive modeling; innovation; business decision support; business strategy; team leadership; digital health and services; econometric evaluations; business case development; quantitative research.
“During my time as Dean at UCSF, Daniel was a rising star in the field of data science/big data, and I was so pleased to see his selection for Distinguished Dissertation Award.
Dr. Linnen is an exceptional contributor and solid programmer. He would be a great addition to any data science team.”
— David Vlahov, PhD
Professor at Yale University
Former Dean at UCSF
“I’ve worked with Dr. Linnen directly on different advanced analytics projects and I cannot recommend his character or capabilities highly enough!
He has technical skills that would be an asset to any team”
— Austin Powell
Senior Data Scientist at Stanford Children’s Health
“Daniel is a passionate data scientist and quantitative researcher. As his qualifying exam chair and dissertation committee member, Daniel impressed me with his desire to write his own statistical programs, his deep subject matter expertise in data science, and use of machine learning to optimize operations”
– Xiao Hu, PhD
Distinguished Professor at Duke University
Former faculty at UCSF Bakar Computational Health Sciences Institute