Speaker Profile
Ph.D., Chief Statistical Consultant, YZ Statistical Consulting
Biography
I'm from Beijing. Came to North America in year 1988. I spent most of my career in analytical software development at Minitab. During the period, I served users from the four aspects:
1. Designed and led multiple teams to implement more than 80 statistical/ machine learning commands in the following menus of MSS: Power and Sample Size Calculations, Predictive Analytics Module, Regression, Analysis of Variance, Design of Experiments, Survival/Reliability Analysis, Control Charts, Quality Tools, Time Series, Equivalence Tests.
2. Provided statistical consulting services to users in survey sampling, automative, electronic, pharmaceutical, medical devices, and financial industries. My prompt and excellent work won me the title of the most trusted statistical advisor from users.
3. Established productive and long-term working relationships with university professors across multi-disciplines and subject-matter experts from multiple industries to develop new and powerful analytics tools with them.
4. Wrote/reviewed several dozens of technical papers to guide users to select the right analytical methods.
Talk
Sequential Bayesian Analysis in Drug ShelfLife Estimation
The research goal is to develop an optimal method for estimating the shelf life of a drug after it is manufactured. The initial hypothesis from a biomedical scientist in Abbott Labs is that regular Bayesian analysis provides an optimal solution. Our simulation results indicate that Sequential Bayesian Hierarchial Modeling is the best approach.
AI for Population Health and Public Health Showcase:
YZ Statistical Consulting
I established my own consulting firm in year 2024 aiming for providing optimal statistical/machine learning/deep learning methodology services to all people who need the services.
I am the only employee so far.
Session Abstract – PMWC 2027 Silicon Valley
The PMWC 2027 AI for Population Health and Public Health (AI in health data analysis and disease prediction) Showcase will provide a 15-30 minute time slot for selected companies to explore the transformative role of artificial intelligence in accelerating the discovery, development, and optimization of novel therapeutic modalities. From predictive algorithms for drug efficacy to real-time analysis in clinical trials, AI is revolutionizing the way we approach emerging therapies, including RNA-based treatments, gene editing, and personalized medicine. Industry leaders and experts will discuss AI-driven advancements, collaborative frameworks, and the challenges of integrating cutting-edge technologies into therapeutic innovation. Join us for an in-depth look at how AI is shaping the future of breakthrough therapeutics.
Davos of Precision Medicine
PMWC 2027 Program
January 27–29, 2027 · Santa Clara Convention Center
Swipe speakers · Tap a card for sessions →
In a few words.
PMWC is indeed The Davos of Biotech
PMWC Hall of Impact
Previous Speakers Include
Nobel laureates, technology founders, regulators, CEOs and scientific pioneers who have taken the PMWC stage.
