Chapter 50 Industry Trends

Chen Yuanguang was also very happy to be able to make some contribution to the world, "That's good, if the prediction was not accurate, then both of us would be criticized.

Professor, thank you for helping me take the risk." Chen Yuanguang said sincerely.

If Levitt hadn't supported him, Science wouldn't have gotten its manuscript approved so quickly, and even with MIT's endorsement, there wouldn't have been so many people attending the online conference, and he wouldn't have had such a good opportunity to preach.

Chen Yuanguang continued: "Pfizer and Bayer must have confidence. Their broad-spectrum vaccines are completely based on our virus prediction model. Our virus prediction model performed so well and accurately predicted the mutation points of the two strains."

Levitt smiled and said, "Yes, Wright, I should thank you. You have achieved such an excellent result. I didn't play a big role in it. I just shared some information with you.

The virus prediction model is entirely your credit, and I will recommend you to be nominated for the Nobel Prize in Biology next year."

Only then did Chen Yuanguang realize that he had forgotten that Levitt, as a former Nobel Prize winner, was also qualified to recommend candidates, and there were only a few Nobel Prize recommenders who had a good relationship with the Gates Foundation.

"Thank you, professor. I will remember the help you provided me." Chen Yuanguang said sincerely.

Because he knew that this was his last chance, not his last chance to win the Nobel Prize, but his last chance to go to Sweden to receive the award in person.

Next year, the virus will be eradicated thanks to a broad-spectrum vaccine, and he will be in the spotlight. Since he is doing pure theoretical research, there is nothing wrong with him receiving the award.

If he waits until later, when he has produced more influential results, such as those that can change the world, and the Nobel Prize is awarded to him, he would not dare to accept it.

This is the importance of timing. If you miss it, you may miss it for the rest of your life.

"Professor, were you talking to Levitt on the phone just now?" The person standing next to Levitt waiting for him to finish his call was his subordinate, Dr. Steven.

Levitt looked at Steven: "Yes."

Steven showed an envious expression. He felt that Levitt cared more about Chen Yuanguang than about the doctors under Levitt.

The difference is like that between direct disciples and outer disciples.

Steve sighed: "There are several papers testing Wright's prediction model published in Nature, Science and The Lancet."

Since the release of Chen Yuanguang's research results, new strains discovered in various places will be compared with the model after sequencing.

Not all mutation points are necessarily predicted by the model, but most mutation points are included in the model, and the mutation points of the most prevalent strains are definitely within the model's prediction range.

Therefore, a paper can be published every time sequencing is performed. In September, the sequencing and comparison results of the Alpha strain discovered in the UK were first obtained by Cambridge and published in The Lancet.

Colleagues in the academic community discovered that publishing papers was so simple that all it required was sequencing and comparison. So everyone began to race against time and build good relationships with virus testing centers to see who was faster.

Gradually, such results can only be published in second-rate journals, and it also depends on the speed of the hand.

Some scholars summarized the sequencing results and wrote a review, which was actually published in Nature. This aroused even more enthusiasm among the audience.

In just half a year, Chen Yuanguang's paper was cited over 2,000 times, becoming the most academically influential paper of the year.

This was something Chen Yuanguang had not expected.

If we work together for a good result, everyone can have food to eat.

This made Steven very envious. He had top-notch results, was favored by the big guys, was still young, and had all the buffs stacked on him.

"This is the value of top researchers. Euler's manuscripts, achievements and thoughts have been a source of inspiration for the Russian mathematical community for three hundred years.

The more top-notch the scientist, the richer the mine.

Chen now has this potential.”

Levitt was also very emotional. He still remembered that at the end of the previous year, when he went to China to participate in a science fiction award, Chen Yuanguang approached him and looked so humble that he thought the other party was just trying to get close to him.

It turned out that the opponent was the shark himself, and had already shown its prowess in just two years.

As a Nobel Prize winner, Levitt is well aware that there are differences among Nobel Prize winners. For some, winning the Nobel Prize is their honor, while for some, winning the Nobel Prize is their honor.

In Levitt's opinion, Chen Yuanguang, who is only in his early twenties, is fully capable of doing the latter.

Steven asked, "Professor, have you ever thought about recruiting Wright to Stanford?
Stanford should just give him a teaching position."

Speaking of this, Steven showed a strange expression. He didn't want to continue this topic because he remembered the bizarre reason why Chen Yuanguang rejected him, because his friend was in New York.

The reason Chen Yuanguang gave him at the time was that he preferred Bawendi's research direction.

After the two began working together this year, Levitt discovered that the other party had the same strong interest and ability in biological computing, so he asked the question again. Chen Yuanguang then told the truth and said 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. It turned out that my PhD was not as valuable as the ones between friends.

After Chen Yuanguang made the prediction model, he comforted himself by saying that geniuses have their own personalities. Geniuses have their own extraordinary qualities, so naturally their personalities are also outstanding.

"I invited him, but he might not like the climate in Silicon Valley." Levitt said this and he didn't believe it himself, 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 didn't really want to come to Stanford."

Steven guessed that the other party probably liked MIT more, so the professor looked like that.

Steven could never guess the real reason.

“I see. It looks like I won’t have a chance to meet Wright anytime soon. His achievements in biological computing are truly amazing.

I have a friend in Silicon Valley. Because of Wright's achievements, many companies focusing on the combination of biological computing and artificial intelligence have emerged in Silicon Valley in recent times, specializing in providing artificial intelligence services for pharmaceutical companies.

They recruited a group of computer science and biology PhDs, saying they wanted to provide a new type of medical outsourcing service.

Pharmaceutical companies such as Pfizer, AstraZeneca, and Roche have also begun to increase their investment in AI. Pfizer alone recently placed an order of more than $200 million with Nvidia.

Because he plans to work in the industry after graduation, Steven pays special attention to cutting-edge trends in Silicon Valley's biological field, which is related to his future development.

He was familiar with the latest developments in the Silicon Valley industry. After listening, Levitt said: "Indeed, 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. New methods are already available, but new theories are still blank. "

(End of this chapter)