A Quote by Chen-Ning Yang

A graduate student who is still learning courses is not really taking a maximum advantage of a research university's offerings. He should already be finished with course-taking, as he would then be able to shape his own taste about what is a good subject for research work in the graduate school.
If a student takes the whole series of my folklore courses including the graduate seminars, he or she should learn something about fieldwork, something about bibliography, something about how to carry out library research, and something about how to publish that research.
My Ph.D. is in operations research. I was interested in making things work better and using mathematics to help do that. So operations research is what I studied as an undergraduate and graduate student.
For graduate school I ended up going to the University of Iowa, which is, of course, the best graduate writing program in the country.
I believe in research. Each movie at Pixar involves research with college professors or taking trips to learn as much as we can about a particular subject matter.
I decided to pursue graduate study in molecular biology and was accepted by Professor Itaru Watanabe's laboratory at the Institute for Virus Research at the University of Kyoto, one of a few laboratories in Japan where U.S.-trained molecular biologists were actively engaged in research.
Towards the end of the military service, I had to make what I assume has been the most important decision in my career: to start a residency in clinical medicine, in surgery, which was my favorite choice, or to enroll into graduate school and start a career in scientific research. It was clear to me that I was heading for graduate school.
I started doing science when I was effectively 20, a graduate student of Salvador Luria at Indiana University. And that was - you know, it took me about two years, you know, being a graduate student with Luria deciding I wanted to find the structure of DNA; that is, DNA was going to be my objective.
I was really desperate. I don't know if you can remember back that far, but when I went to graduate school they didn't want females in graduate school. They were very open about it. They didn't mince their words. But then I got in and I got my degree.
It was at the graduate school at Columbia University that I first met Wesley C. Mitchell, with whom I was associated for many years at the National Bureau of Economic Research and to whom I owe a great intellectual debt.
In 1989 I came to New York to go to the School of Visual Arts. Then, after two years, I switched over to the New School for Social Research and did cultural anthropology in the graduate school there.
When I was working on my research project, I found out that all research papers I needed for work were paywalled. I was a student in Kazakhstan at the time and our university was not subscribed to anything.
In the field of astronomy in the mid-'60s, quasars were very sexy objects - gigantic, star-like masses about which little was known. I was a graduate research student at Cambridge working towards my Ph.D. and chose quasars as the subject for my thesis. Part of my project involved surveying the sky for them using a radio telescope.
I left school my senior year to do a play at the Alley Theatre in Houston, Texas. Then while I was doing a play, I auditioned for Juilliard. I got in over the summer, and they told me, 'You have to graduate high school to come here. You don't need the SATs, but you do need to graduate high school.' I finished over the summer through correspondence.
I spent eighteen months as a graduate student in physics at Columbia University, waiting unhappily for an opportunity to work in a laboratory and wondering if I should continue in physics.
I was scheduled to graduate from high school in 1943, but I was in a course that was supposed to give us four years of high school plus a year of college in our four years. So by the end of my junior year, I would have had enough credits to graduate from high school.
Then I started graduate school at UCLA. I got a part time research assistant job as a programmer on a project involving the use of one computer to measure the performance of another computer.
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