Previously, Pei Jian was known as “JD.comGroup Vice President”, I don’t know if he has resigned?
Professor Pei Jian is an internationally renowned scholar in the field of data science. He is one of the most cited authors in academia in data mining, database systems and information retrieval, with over 110,000 citations.
At the same time, he is also an academician of the Royal Canadian Academy of Sciences, the Canadian Academy of Engineering, ACM and IEEE. He has won the highest technical achievement award in the field of data science, the ACM SIGKDD Innovation Award (ACM SIGKDD Innovation Award) and the IEEE ICDM Research Contributions Award (IEEE ICDM Research Contribution Award). .
Pei Jian received his bachelor’s and master’s degrees from the Department of Computer Science and Engineering of Shanghai Jiao Tong University in 1991 and 1993, respectively. , received a PhD in Computing Science from Simon Fraser University, Canada, in 2002.
The following is Duke University’s interview with Pei Jian, and the AI Technology Review has made an arrangement without changing its original intention:
As an expert in developing connections between data science and real-world applications, Jian Pei is not only passionate about gathering useful information and gaining insights from large amounts of data, but also doing so in a way that is fair and transparent to all.
“Data scientists must be able to build programs that learn dynamically and communicate complex results from many different applications to stakeholders and users,” said Jian Pei. “For data scientists, connecting people to It is important that data connect and contribute to and benefit society.”
As the data science discipline has exploded over the past few decades, it has become more difficult to name fields that have not been impacted by it than fields that have been impacted by it. But as advanced concepts such as data mining and applied artificial intelligence become a fundamental part of more aspects of society, ensuring that data is used in a fair and equitable manner is becoming increasingly important.
For the past two decades, Pei Jian has been working on these goals in various fields. His work involves spatial data, medical data,educateData, e-commerce, bioinformatics, data marketplaces and social networks, to name a few.
One of Pei’s achievements is a partnership with LinkedIn, one of the largest social media platforms in the world. Because executive positions tend to skew male — especially in technology-based companies — in the social relationships and opportunities they present for both men and women, the platform’s algorithms must battle any bias that may arise within them. The company recently worked with Pei Jian to examine and correct bias in its data so that data dissemination is fair among all users, regardless of their race, gender or other characteristics.
Whatever the field and problem at hand, Jian Pei sees an opportunity to customize existing technologies and invent new ways to collect and interpret data. His collaborators can then see if the newly applied tools and techniques can be used to solve problems in their own research areas. He is excited about the future rich industry collaborations in the Research Triangle, especiallyappleAnd companies like Google are about to open offices in the region.
Pei Jian also said: “I meet a variety of people at conferences and conferences, and I am always looking for opportunities to apply my work to new challenges. I also often work with professional graduate students, their work It presents them with new challenges and it gives them the opportunity to work with the company.”
Pei Jian is willing to accept students of all ages and experience levels, not just professional graduate students. He regularly teaches undergraduate courses on data science, data mining, and database fundamentals, and consistently mentors a large number of PhD students. And, he proudly says, 50 percent of them are women.
“I am a strong advocate for diversity and equity in education and training, especially for women and other underrepresented groups in science and engineering. We need to have more balance to ensure the health and efficiency of the field as a whole.” Talks Pei road.
In addition to the outdoor jogging and mountain biking opportunities offered by the Triangle, Pei said he was drawn to Duke because of the strong research teams and opportunities for interdisciplinary collaboration Duke offers in data science. He is particularly pleased to work with Cynthia Rudin, one of the world’s leading proponents of creating interpretable machine learning algorithms; with Robert Calderbank, who runs a number of data science-driven projects through Duke University’s Rhodes Information Initiative; with Chen Collaborating with Yiran, he recently established the Athena Center, focused on harnessing artificial intelligence and edge computing technologies and next-generation networking systems to reimagine the mobile devices of the future.
“I think in the next 10 to 20 years, change will happen faster than it is now, and more flexible versatility will be very important. Data science is the key to sensing change, understanding dynamics and enhancing versatility. I am delighted to be part of an increasingly important role in leading research, education and social services,” said Pei Jian.