With the recent radical breakthroughs in biotechnology, large amount of high throughput genetic/genomic data can now be generated almost without limit, with an ultimate goal of unraveling the hidden genetic secrets of biological functions. Well motivated by real world biological problems, my lab focuses on developing novel statistical models to help biologists to better understanding gene functions and enhance our knowledge about the molecular processes. We are looking for students who have strong statistical and computational backgrounds and who would like to dedicate their future research into this cutting-edge interdisciplinary area. Interested students should contact the graduate director first for a chance to enroll into the statistics program.


Ø  Currently we are looking for highly motivated graduate students who are interested in statistical learning (a link to SL) and deep learning with applications in omics data analysis, with the hope to understand the molecular machinery of complex diseases from a system biology perspective.  

Some useful resources:
What makes a good Ph.D. student
The Ph.D Experience
Guilds to PhD students/PostDoc
Top 10 tips for success in graduate school

Ten Simple Rules for Effective Statistical Practice

Grant Opportunities:
Weekly NIH Funding Opportunities and Notices
NSF Statistics Program