Data-intensive graph problems abound in the Life Science drug discovery and development process.
Don't underestimate the power of your vision to change the world. Whether that world is your office, your community, an industry or a global movement, you need to have a core belief that what you contribute can fundamentally change the paradigm or way of thinking about problems.
To manipulate the immune system, you need to find the key bottlenecks that govern the system. The T-cell is an absolute bottleneck.
Anybody that thought the genome was going to directly provide drugs was a fool. Biological networks are not simple, and making drugs to affect them won't be simple.
Each form of Alzheimer's disease should perturb different brain networks and so influence the concentration of different proteins that can be measured in the blood.
What you need to learn how to do is analyze situations and do differential diagnoses and understand the principle and the concepts rather than learn all the details, and medical school doesn't begin to do that.
In the late 1970s, when I was a professor at Caltech, I pioneered four instruments for analyzing genes and proteins that revolutionized modern biology - and one of these, the automated DNA sequencer, enabled the Human Genome Project.
I already get 10 job offers a year, which is more than I can handle anyway.
The systems approach to biology will be the dominant theme in medicine.
If you go to the FDA with a drug that's only meant to treat 50 people, and it's a 95 percent cure rate, you'll get your drug approved.
We don't argue if drug companies create drugs that can cure humans and charge lots of money for them, even though we all have these diseases. It will be pretty hard to make a different argument for genes.