Chapter 50 Industry Trends
Chen Yuanguang is also very happy that he can make some contribution to the world, "That's good. If the prediction is not accurate, then both of us will be criticized.
Professor, thank you for taking the risk for me." Chen Yuanguang said sincerely.
If Levitt had not helped him stand up, Science would not have been able to publish the manuscript so quickly. Even if the online conference was endorsed by MIT, there would not be so many people attending, and he would not have such a good opportunity to preach.
Chen Yuanguang continued: "Pfizer and Bayer must be confident. Their broad-spectrum vaccine is completely based on our virus prediction model. Our virus prediction model performed so well and accurately predicted The mutation points of these two strains. ”
Levitt smiled and said: "Yes, Wright, I should thank you. You have made such excellent results. I didn't help much in it, but I just shared some information with you.
The virus prediction model is entirely your contribution, and I will recommend you to select for next year’s Nobel Prize in Biology.”
Chen Yuanguang realized that he had forgotten that Levitt, as a former Nobel Prize winner, was also a candidate. Recommendation qualifications: There are only a small number of Nobel Prize recommenders who have a good relationship with the Gates Foundation.
"Professor, thank you, I will remember the help you provided me." Chen Yuanguang said very sincerely.
Because he knew that this was his last chance, not the last chance to win the Nobel Prize, but the last chance to go to Sweden to receive the award live.
Next year, with the help of a broad-spectrum vaccine, the virus will be eradicated. He will have a halo and he is doing purely theoretical research, so it will be okay to accept the award.
If he waited until later, when he produced more influential results, such as some results that could change the world, and the Nobel Prize was awarded to him, he would not dare to accept it.
This is the importance of timing. If you miss it, it may last a lifetime.
"Professor, were you on the phone with Levitt just now?" The person standing next to Levitt just now, waiting for him to finish the call, was his doctor Steven.
Levitt looked at Steven: "Yes."
Steven showed an envious expression. He felt that Levitt was far more interested in Chen Yuanguang than the doctors under Levitt.
The difference is like a direct disciple and an outer disciple.
Steve lamented: “There are several papers testing the Wright prediction model published in Nature, Science and The Lancet.”
Since the release of Chen Yuanguang’s research results, After sequencing the new strains discovered in various places, everyone will compare them with the model.
Not all mutation points may be predicted by the model, but most mutation points are included in the model, and the mutation point of the final most prevalent strain must be within the prediction range of the model.
Therefore, a paper can be published every time it is sequenced. In September, the sequencing comparison results of the Alpha strain discovered in the UK were first published by Cambridge and published in The Lancet.
Colleagues in academia found that it was so easy to publish a paper and only needed sequencing and comparison. Everyone began to rush for time and establish a good relationship with the virus testing center to see who was faster.
Slowly, such results can only be published in second-rate journals, and it also depends on hand speed.
Some scholars summarized the sequencing results and wrote a review, which was actually published in Nature. Now everyone is even more enthusiastic.
In just half a year, Chen Yuanguang’s paper was cited more than 2,000 times, making it the most academically influential paper of the year.
This was something Chen Yuanguang did not expect.
With a good result, everyone can have something to eat.
This makes Steven very envious. His results are top-notch, he is favored by big bosses, he is still young, and his buffs are stacked up for him.
“This is the value of top scientific researchers. Manuscripts, results, and thinking like Euler’s have devastated the Russian mathematics community for three hundred years.
The more top-notch scientists are, the richer their fortunes are.
Chen already has this potential. "
Levitt was also very emotional. He still remembered that he went to China to participate in the science fiction awards at the end of the year before last. At that time, Chen Yuanguang found his humble appearance, which made him think that the other party was just here to trick him.
It turns out that the other party is a shark himself, and he has shown his talents in just two years.
As a Nobel Prize winner, Levitt is very aware that there are differences between Nobel Prize winners. Some people win the Nobel Prize, and he is the Nobel Prize winner. The glory of the Nobel Prize is his.
In Levitt's view, Chen Yuanguang, who is only in his early twenties, can definitely do the latter.
Steven asked: "Professor, haven't you thought about recruiting Wright to Stanford?
Stanford should just give him a teaching position."
said When talking about this, Steven showed a strange look. He didn't want to continue this topic because he remembered Chen Yuanguang's bizarre reason for rejecting him because his friend was in New York.
The reason Chen Yuanguang gave him at the time was that he preferred Ba Wendi’s research direction.
After the two started collaborating this year, Levitt found that the other party also had a strong interest and ability in biological computing, so he asked this question again. Only then did Chen Yuanguang tell the truth, saying that because his friend was in New York, Boston was closer to New York.
Levitt will never forget how he felt at that time. It was as uncomfortable as eating canned herrings. I dared to admit that my doctor was better off than friends looking at each other at face value.
After Chen Yuanguang made the prediction model, he comforted himself, saying that geniuses have personalities like this. Geniuses have their own extraordinary qualities and their natural personalities are also outstanding.
“I invited him, but he may not like the climate in Silicon Valley.” Levitt didn’t believe it after he said it, because the climate in California is obviously better than that in Boston.
How can Boston’s long cold winter compare to California’s pleasant climate?
He added: "Anyway, I invited him, but he doesn't really want to come to Stanford."
Steven guessed in his heart that he probably liked MIT more, so the professor showed such a look.
Steven could never guess the real reason.
"That's it. It seems that I won't have the chance to meet Wright in the short term. His achievements in biological computing are really amazing.
I have friends in Silicon Valley. Because of Wright's achievements, During this period, many companies focusing on the combination of biocomputing and artificial intelligence have emerged in Silicon Valley, specializing in providing artificial intelligence services to pharmaceutical companies
They recruited a group of PhDs in computer science and biology, saying they were going to provide new medical outsourcing services.
Pharmaceutical companies such as Pfizer, AstraZeneca, and Roche Pharmaceuticals have also begun to increase their investment in AI. Pfizer alone recently placed an order of more than US$200 million for Nvidia. ”
Because he plans to go to industry after graduation, Steven pays special attention to the cutting-edge trends in biology in Silicon Valley, which is related to his subsequent development.
He is familiar with the latest trends in Silicon Valley industry. , Levitt said after listening: "It is true, the advantages of artificial intelligence technology in the field of biological computing are very obvious.
Traditional mathematical modeling can no longer meet the needs of the current academic community. We need new methods and new theories. Now new methods are available, but new theories are still blank. ”
(End of this chapter)