This morning (September 29), the 2022 World Top Scientists Association Award was announced. German scientist Dirk Gerlich won the Life Science or Medicine Prize, American scientist Michael I. Jordan won the Intelligent Science or Mathematics Prize, , with a single prize of RMB 10 million.
2013 Nobel Prize in Chemistry winner and vice chairman of the World Top Science and Technology Association Michael Levitt announced the list of winners, and the award ceremony will be held at the 2022 World Top Scientists Forum .
Dirk GrlichDilk Gerlich
2022 World Top Scientists Award Life Science or Medicine Award Winner
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- While studying for his PhD, he joined the cellular biology professor Tom Rapoport in Berlin’s laboratory, where he identified the heterotrimeric protein, the Sec61αβγ complex, as the receptor for the translation ribosome and the protein conduction channel of the endoplasmic reticulum (ER). He also successfully recombined a fully functional "translocation" from the purified ingredients and demonstrated its ability to transport secretory protein on the ER membrane and integrate type I and type II membrane protein into the lipid bilayer.
1993, he joined British cell biologist and cancer research expert Ron Laskey for postdoctoral research study in the lab of University of Cambridge . During this period, he discovered the first input protein, which serves as a vehicle for proteins to be introduced into the nucleus.
In 1996, he became the head of the research group at the ZMBH Center for Molecular Biology at the University of Heidelberg, and then served as a professor here. During this period, he developed the RanGTP-gradient model to explain the directionality and energy of nuclear transport. Professor Gerlich's research team described the chaperone function of the input protein for the first time and played a role in discovering and describing the output proteins derived from in nucleus of .
Currently, Professor Gerlich serves as director of the Max Planck Institute of Multidisciplinary Sciences in Gotingen, focusing on the issue of how nuclear pore complexes work as efficient transport machines. His team found that essentially disordered nuclear porein (FG domain) would form a condensed state, becoming a highly selective permeability barrier with extremely strong transport capabilities. His team also developed nanoantibody as a cell biology tool and can be used for the treatment of diseases including Covid-19, malaria, bacterial infection, sepsis and autoimmune disease .
Educational experience
1989, Martin Luther Hallevetenberg University (Halle/Salle) Master of Biochemistry
1990-1993, Max Delbrück Molecular Medicine Center (Max Delbrück Center) Tom Rapoport T.A. Rapoport Doctoral Research in Berlin Laboratory
1993, Humboldt University Berlin Doctoral of Biochemistry
Work experience
1993, April-September, Tom Rapoport T.A. Rapoport Laboratory Postdoctoral research
11993-December 1995, R.A. Laskey Laboratory, Wycon Trust/Cancer Research Action Institute, Cambridge University, UK Postdoctoral researcher
1996-2007, Research group leader of ZMBH Center for Molecular Biology, University of Heidelberg, Germany,
2001-2007, Professor Molecular Biology, University of Heidelberg, Germany,
2005-present, Scientific Member and Director of Max Planck Institute of Biophysical Chemistry, Germany, from 12018-2019, Max Planck Institute of Biophysical Chemistry, Germany Executive Director
*On January 1, 2022, two institutes in Göttingen: Max Planck Institute of Biophysical and Chemistry and Max Planck Institute of Experimental Medicine merged to form the Max Planck Institute of Multidisciplinary Science. Professor Gerlich holds the post of director at the institute.
main awards and honors
1993, German Biochemistry Society Carl Roman Award
1994, German Cell Biology Society Falcon Award
1997, European Molecular Biology Organization EMBO Gold Award
1997, European Molecular Biology Organization (EMBO) member
1997, German Science Foundation Heinz Mayer Leibniz Award
2001, Alfrid Krupp University Young Teacher Award (Alfrid Krupp von Boren and Harbach Foundation)
2005, German National Academy of Sciences Academician
2018, German Federal Ministry of Food and Agriculture Animal Welfare Research Award (co-winning with Tino Pleiner)
Michael I. JORDAN Michael I·Jordan
2022 World Top Scientists Association Award Intelligent Science or Mathematics Award Winner
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- tml1 Reason for winning the award
"Commend him for his fundamental contribution to the theoretical basis and application of machine learning "
Department of Electronic Engineering and Computer Science, Department of Statistics, Outstanding Professor
For the past four decades, Professor Michael I. Jordan has been a world-leading researcher in the field of statistical machine learning. His outstanding contributions are the successful link between computer science and statistics (both disciplines), including variational methods of statistical reasoning and learning, graphical models and Bayesian nonparametric methods, and trade-off characteristics between statistical risk and computational complexity.
Professor Jordan also dabbled in the intersection of optimization and machine learning, in which he is known for developing continuous time models based on gradient optimization and sampling, and work on for optimization in distributed system.
Professor Jordan also constructed a correlation study between machine learning and control theory, contributing to reinforcement learning theory, learning-based model predictive control and optimization principles of human motion control .
He also took the lead in combining the microeconomic concept with machine learning, developed learning methods that motivate learners to share data, and showed how contract theory can be used for statistical reasoning and make outstanding contributions to learning-based matching market research. He is also committed to promoting the application of machine learning in high-influence fields such as single-molecular imaging, protein modeling, gene recombination modeling and natural language processing.
Professor Jordan's contribution to computer science is also reflected in education. He has mentored more than 80 doctoral students and more than 60 postdoctoral researchers, a group currently active in the world's leading academic institutions and leads the industry forward.
Educational experience:
1978 Louisiana State University Psychology Bachelor of
1980 Arizona State University Master of mathematics
1985 UC San Diego PhD in Cognitive Science
Work experience:
1986-1988, Department of Computer and Information Sciences, University of Massachusetts Postdoctoral fellow
1988-1998, Department of Brain and Cognitive Science, MIT, Postdoctoral Researcher
1988-1998, Department of Brain and Cognitive Science, MIT, from 11988 to 1998, Department of Brain and Cognitive Science, MIT, from 11988 to 1998, Department of Brain and Cognitive Science, MIT, from 11988 to 1998, Department of Brain and Cognitive Science, MIT, from 13 to 1308 to 1308, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300, from 1300 Assistant professor, associate professor, professor
1998 to the present, Department of Electronic Engineering and Computer Science, Department of Statistics, University of California, Berkeley Professor
2015-2017, Department of Statistics, University of California, Berkeley Director
2017 to the present, Department of Industrial Engineering and Operations Research, University of California, Professor
2018 to the present, Peking University Honorary Professor
2019 to the present, Tsinghua University Honorary Professor
Major awards and honors:
2004, Lecturer of the Medal Lecturer of the International Society of Mathematical Statistics
2009, ACM/AAAIAllen Newell Award (American Computer Association ACM, American Association for the Promotion of Artificial Intelligence AAAI)
2010, American National Academy of Sciences
2010,
2010,
2011, American Academy of Arts and Sciences American Academy of Arts and Sciences
2011, International Mathematics Neiman Lectures for Statistics Society
2015, Rumelhart Award (International Society of Cognitive Science CSS)
2016, International Joint Conference on Artificial Intelligence Excellence Award (IJCAI)
2020, John von Neumann Award (Institute of Electrical and Electronics Engineers IEEE)
2021, Mitchell Award (International Bayesian Analytical Society, ISBA)
2021, Ulf Greenard Random Theory and Modeling Award (American Mathematics Society, AMS)
In 2022, the first Grace Wohebai Lecturer of the International Society of Mathematical Statistics
About the World Top Scientists Award
Top Scientists Award is a science award initiated by the World Top Scientists Association (hereinafter referred to as the "Top Science Association"), hosted by the Shanghai World Top Scientists Development Foundation, and selected by scientists around the world. It was officially announced and established at the 4th World Top Scientists Forum on November 1, 2021. As the exclusive donor of the TD Science and Technology Association Award, Sequoia China will support the sustainable development of the award.
Top Science and Technology Association Awards aim to commend R&D personnel and technological pioneers who have made pioneering work around the world, promote the development of the theory of the discipline, open up new major research areas, or promote the transformation of science and technology and improve human life, in order to support global scientific and technological progress, better respond to the common challenges faced by all mankind, and promote the long-term progress of human society. The
top science and technology association award is awarded once a year. Currently, two individual awards are established: "Intelligent Science or Mathematics Award" and "Life Science or Medicine Award". The individual award amount is RMB 10 million, ranking among the highest scientific awards in the world. The same award can be won and shared by up to 4 winners.
Top Science and Technology Association Award adopts a nomination system. The review agency is divided into a selection committee and an evaluation committee, both of which are outstanding scientists from relevant disciplines in the international scientific community.
Author: Xu Qimin
Picture: Forum of Top Scientists provides
