 |
Su-In Lee, PhD (Stanford) Department of Computer Science & Engineering Department of Genome Sciences Email: suinlee@ |
Research Interests
Computational biology, Machine learning
My group is interested in developing computational approaches based on machine learning and statistics to address key problems in biology and medicine.
Specific research topics include:
Functional genomics towards personalized health care
Systems biology of disease mechanisms, complex biological traits, evolution, development and tissue specificity
Systems genetics – system-level understanding of the effect of genetic/epigenetic variation on complex traits
Genomics meets genetics – integrating functional genomic data to inform genome-wide association studies
Predictive medicine
Developing novel machine learning and data mining techniques
Getting Involved
How to get started in the Lee lab (Please email me to get permission to read the Google doc)
Multiple postdoctoral positions are available (details here)
I am also actively recruiting outstanding students interested in my ongoing projects. The projects require researchers with diverse background ranging from machine learning, data mining, signal processing and statistics to biology and medicine. An interested student who has a solid background in any one of these fields and is highly motivated to do research that can have a significant impact on human lives will be welcome. No background in biology is required for most of the projects. If you are interested in joining my group, please email me your CV.