Winners of the Inaugural WLA Prize Announced RMB 10 Million for Each Prize – GlobeNewswire
Shanghai, Sept. 30, 2022 (GLOBE NEWSWIRE) -- The 2022 WLA Prize Laureates are:
--"For fundamental contributions to the foundations of machine learning and its application."
About the Laureate
Prof. Michael I. Jordan has been a world-leading researcher in the field of statistical machine learning for nearly four decades. His contributions to the interface between computer science and statistics include the variational approach to statistical inference and learning, inference methods based on graphical models and Bayesian non-parametrics, and characterizations of trade-offs between statistical risk and computational complexity.
He has also worked at the interface between optimization and machine learning, where he is well known for his development of continuous-time models of gradient-based optimization and sampling, and his work on distributed systems for optimization. He has built bridges between machine learning and control theory, contributing to the theory of reinforcement learning, learning-based model predictive control, and optimality principles for human motor control.
He has also led the way in bringing microeconomic concepts into contact with machine learning, developing learning methods that incentivize learners to share data, showing how contract theory can be employed for statistical inference, and contributing to the study of learning-based matching markets.He has also pursued numerous high-impact applications of machine learning in domains such as single-molecule imaging, protein modeling, genetic admixture modeling, and natural language processing.
Prof. Jordan's contributions to computer science are also evident in education. He has mentored over 80 PhD students and over 60 postdoctoral researchers, an influential cohort who are now professors at the world's leading academic institutions and leaders in the industry.
--"For key discoveries elucidating the mechanism and selectivity of protein transport between the cytoplasm and nucleus."
About the Laureate
Dr. Dirk Grlich was born in Halle/Saale in Germany and studied biochemistry at Martin Luther University in Halle. For his Ph.D., he joined Tom Rapoport's lab in Berlin, where he identified the heterotrimeric Sec61 complex as a receptor for translating ribosomes and protein-conducting channels of the endoplasmic reticulum (ER). He also succeeded in reconstituting a fully functional "translocon" from purified components and demonstrated its capacity to transport secretory proteins across the ER membrane and to integrate type I and type II membrane proteins into the lipid bilayer.
In 1993, Dr. Grlich joined Ron. Laskey's lab at the University of Cambridge, where he discovered the first importins as mediators of protein import into the cell nucleus.
In 1996, he became an independent group leader and later a professor of molecular biology at the ZMBH (University of Heidelberg). During this time, he developed the RanGTP-gradient model to explain the directionality and energetics of nuclear transport. His group first described chaperone functions of importins and was instrumental in discovering and characterizing exportins that mediate export from the cell nucleus.
Dr. Grlich is now a director at the Max Planck Institute for Multidisciplinary Sciences in Gttingen, focusing on the question of how nuclear pore complexes function as highly efficient transport machines. His team discovered that intrinsically disordered FG domains assemble into a condensed (selective) FG phase that serves as a highly selective permeability barrier of extreme transport capacity. His group also develops nanobodies as cell biological tools and, more recently, also as therapeutics for treating diseases such as Covid-19, malaria, bacterial infections, sepsis, and autoimmune conditions.
Roger KORNBERG, Chairman of the WorldLaureatesAssociation and 2006 Nobel Laureate in Chemistry, said that The WLA Prize advocates for original basic science and encourages scientific researchers to be better committed to the common well-being of human beings. It is believed that the WLA Prize, established in China through multi-lateral efforts, will become one of the world's globally influential awards.
Michael LEVITT, Vice Chairman of the World Laureates Association and 2013 Nobel Laureate in Chemistry announced the 2022 WLA Prize laureates.YANG Wei, Member of the Chinese Academy of Sciences, Foreign Member of the National Academy of Engineering (USA), and Fellow and Treasurer of the World Academy of Sciences (TWAS) also attended the press conference.
Global technological development has brought revolutionary and far-reaching impact since the start of this century, and the pace of development is only accelerating, said Neil SHEN, StewardofSequoiaCapitalFoundingandManagingPartnerofSequoiaChina, which is the exclusive sponsor of the WLA Prize. Sequoia China is committed to supporting cutting-edge technology and fundamental research and encouraging those who push forward the frontiers of science.
WU Xiangdong , Executive Director of the World Laureates Association and Chairman of the WLA Prize Management Committee announced that the Award Ceremony of the inaugural WLA Prize will be solemnly held at the Opening Ceremony of the 5th WLA Forum in early November 2022; both of the laureates are on schedule to Shanghai to accept their awards.
About the WLA Prize
The World Laureates Association Prize (WLA Prize) is an international science prize established in Shanghai, in 2021, initiated by World Laureates Association (WLA), managed by the WLA Foundation, and exclusively funded by Sequoia China.
The WLA Prize aims to recognize and support eminent researchers and technologists worldwide for their contributions to science. It is intended to support global science and technology advancement, address the challenges to humanity, and promote society's long-term progress.
Each year, the WLA Prize is awarded in two categories: the "WLA Prize in Computer Science or Mathematics" and the "WLA Prize in Life Science or Medicine."
The total award for each Prize, which may be divided among up to four laureates, is RMB 10 million.
More info about the WLA Prize:
About Us
World Laureates Association
The World Laureates Association (WLA) is a non-governmental and non-profit international organization. It is one of the world's highest profile organizations of laureates with three missions: advocacy for basic science, promotion of international cooperation, and support for young scientists. Upholding the vision of "Science and Technology for the Common Destiny of Mankind," the WLA is committed to enhancing the academic exchange of ideas and research among scientists and scholars in China and the world.
Follow Us for updates on Facebook and Twitter@wlaforum
WLA Foundation
The WLA Foundationsupports all WLA activities and is funded entirely by donations from private sources.
Sequoia China
Sequoia China helps daring founders build legendary companies. In partnering with Sequoia, companies benefit from its unmatched community and the lessons Sequoia has learned over the years. As "The Entrepreneurs Behind The Entrepreneurs", Sequoia China focuses on three sectors: tech, consumer and healthcare. Over the past 17 years, Sequoia China has had the privilege of working with more than 900 companies. It is committed to advancing innovation in science and technology. It actively supports scientists and entrepreneurs, promotes technological innovation, and nurtures leading tech-enabled enterprises, with a concern for corporate social responsibility. As the exclusive sponsor of the World Laureates Association (WLA) Prize, Sequoia China hopes that its support will encourage the pursuit of innovative scientific developments and drive growth across the world.
Link:
Winners of the Inaugural WLA Prize Announced RMB 10 Million for Each Prize - GlobeNewswire
- AI and machine learning are the future of Wi-Fi management: WBA report - Telecompetitor - February 22nd, 2026 [February 22nd, 2026]
- Machine learning streamlines the complexities of making better proteins - Science News - February 20th, 2026 [February 20th, 2026]
- WBA Publishes Guidance on Artificial Intelligence and Machine Learning for Intelligent Wi-Fi - ARC Advisory Group - February 20th, 2026 [February 20th, 2026]
- Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer - Nature - February 20th, 2026 [February 20th, 2026]
- Exploring Machine Learning at the DOF - University of the Philippines Diliman - February 20th, 2026 [February 20th, 2026]
- AI and Machine Learning - Where US agencies are finding measurable value from AI - Smart Cities World - February 20th, 2026 [February 20th, 2026]
- Modeling visual perception of Chinese classical private gardens with image parsing and interpretable machine learning - Nature - February 16th, 2026 [February 16th, 2026]
- Analysis of Market Segments and Major Growth Areas in the Machine Learning (ML) Feature Lineage Tools Market - openPR.com - February 16th, 2026 [February 16th, 2026]
- Apple Makes One Of Its Largest Ever Acquisitions, Buys The Israeli Machine Learning Firm, Q.ai - Wccftech - February 1st, 2026 [February 1st, 2026]
- Keysights Machine Learning Toolkit to Speed Device Modeling and PDK Dev - All About Circuits - February 1st, 2026 [February 1st, 2026]
- University of Missouri Study: AI/Machine Learning Improves Cardiac Risk Prediction Accuracy - Quantum Zeitgeist - February 1st, 2026 [February 1st, 2026]
- How AI and Machine Learning Are Transforming Mobile Banking Apps - vocal.media - February 1st, 2026 [February 1st, 2026]
- Machine Learning in Production? What This Really Means - Towards Data Science - January 28th, 2026 [January 28th, 2026]
- Best Machine Learning Stocks of 2026 and How to Invest in Them - The Motley Fool - January 28th, 2026 [January 28th, 2026]
- Machine learning-based prediction of mortality risk from air pollution-induced acute coronary syndrome in the Western Pacific region - Nature - January 28th, 2026 [January 28th, 2026]
- Machine Learning Predicts the Strength of Carbonated Recycled Concrete - AZoBuild - January 28th, 2026 [January 28th, 2026]
- Vertiv Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning algorithms to anticipate issues... - January 28th, 2026 [January 28th, 2026]
- Machine Learning in Network Security: The 2026 Firewall Shift - openPR.com - January 28th, 2026 [January 28th, 2026]
- Why IBMs New Machine-Learning Model Is a Big Deal for Next-Generation Chips - TipRanks - January 24th, 2026 [January 24th, 2026]
- A no-compromise amplifier solution: Synergy teams up with Wampler and Friedman to launch its machine-learning power amp and promises to change the... - January 24th, 2026 [January 24th, 2026]
- Our amplifier learns your cabinets impedance through controlled sweeps and continues to monitor it in real-time: Synergys Power Amp Machine-Learning... - January 24th, 2026 [January 24th, 2026]
- Machine Learning Studied to Predict Response to Advanced Overactive Bladder Therapies - Sandip Vasavada - UroToday - January 24th, 2026 [January 24th, 2026]
- Blending Education, Machine Learning to Detect IV Fluid Contaminated CBCs, With Carly Maucione, MD - HCPLive - January 24th, 2026 [January 24th, 2026]
- Why its critical to move beyond overly aggregated machine-learning metrics - MIT News - January 24th, 2026 [January 24th, 2026]
- Machine Learning Lends a Helping Hand to Prosthetics - AIP Publishing LLC - January 24th, 2026 [January 24th, 2026]
- Hassan Taher Explains the Fundamentals of Machine Learning and Its Relationship to AI - mitechnews.com - January 24th, 2026 [January 24th, 2026]
- Keysight targets faster PDK development with machine learning toolkit - eeNews Europe - January 24th, 2026 [January 24th, 2026]
- Training and external validation of machine learning supervised prognostic models of upper tract urothelial cancer (UTUC) after nephroureterectomy -... - January 24th, 2026 [January 24th, 2026]
- Age matters: a narrative review and machine learning analysis on shared and separate multidimensional risk domains for early and late onset suicidal... - January 24th, 2026 [January 24th, 2026]
- Uncovering Hidden IV Fluid Contamination Through Machine Learning, With Carly Maucione, MD - HCPLive - January 24th, 2026 [January 24th, 2026]
- Machine learning identifies factors that may determine the age of onset of Huntington's disease - Medical Xpress - January 24th, 2026 [January 24th, 2026]
- AI and Machine Learning - WEF expands Fourth Industrial Revolution Network - Smart Cities World - January 24th, 2026 [January 24th, 2026]
- Machine-learning analysis reclassifies armed conflicts into three new archetypes - The Brighter Side of News - January 24th, 2026 [January 24th, 2026]
- Machine learning and AI the future of drought monitoring in Canada - sasktoday.ca - January 24th, 2026 [January 24th, 2026]
- Machine learning revolutionises the development of nanocomposite membranes for CO capture - European Coatings - January 24th, 2026 [January 24th, 2026]
- AI and Machine Learning - Leading data infrastructure is helping power better lives in Sunderland - Smart Cities World - January 24th, 2026 [January 24th, 2026]
- How banks are responsibly embedding machine learning and GenAI into AML surveillance - Compliance Week - January 20th, 2026 [January 20th, 2026]
- Enhancing Teaching and Learning of Vocational Skills through Machine Learning and Cognitive Training (MCT) - Amrita Vishwa Vidyapeetham - January 20th, 2026 [January 20th, 2026]
- New Research in Annals of Oncology Shows Machine Learning Revelation of Global Cancer Trend Drivers - Oncodaily - January 20th, 2026 [January 20th, 2026]
- Machine learning-assisted mapping of VT ablation targets: progress and potential - Hospital Healthcare Europe - January 20th, 2026 [January 20th, 2026]
- Machine Learning Achieves Runtime Optimisation for GEMM with Dynamic Thread Selection - Quantum Zeitgeist - January 20th, 2026 [January 20th, 2026]
- Machine learning algorithm predicts Bitcoin price on January 31, 2026 - Finbold - January 20th, 2026 [January 20th, 2026]
- AI and Machine Learning Transform Baldness Detection and Management - Bioengineer.org - January 20th, 2026 [January 20th, 2026]
- A longitudinal machine-learning approach to predicting nursing home closures in the U.S. - Nature - January 11th, 2026 [January 11th, 2026]
- Occams Razor in Machine Learning. The Power of Simplicity in a Complex World - DataDrivenInvestor - January 11th, 2026 [January 11th, 2026]
- Study Explores Use of Automated Machine Learning to Compare Frailty Indices in Predicting Spinal Surgery Outcomes - geneonline.com - January 11th, 2026 [January 11th, 2026]
- Hunting for "Oddballs" With Machine Learning: Detecting Anomalous Exoplanets Using a Deep-Learned Low-Dimensional Representation of Transit... - January 9th, 2026 [January 9th, 2026]
- A Machine Learning-Driven Electrophysiological Platform for Real-Time Tumor-Neural Interaction Analysis and Modulation - Nature - January 9th, 2026 [January 9th, 2026]
- Machine learning elucidates associations between oral microbiota and the decline of sweet taste perception during aging - Nature - January 9th, 2026 [January 9th, 2026]
- Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis - Nature - January 9th, 2026 [January 9th, 2026]
- Bidgely Redefines Energy AI in 2025: From Machine Learning to Agentic AI - galvnews.com - January 9th, 2026 [January 9th, 2026]
- Machine Learning in Pharmaceutical Industry Market Size Reach USD 26.2 Billion by 2031 - openPR.com - January 9th, 2026 [January 9th, 2026]
- Noise-resistant Qubit Control With Machine Learning Delivers Over 90% Fidelity - Quantum Zeitgeist - January 9th, 2026 [January 9th, 2026]
- Machine Learning Models Forecast Parshwanath Corporation Limited Uptick - Real-Time Stock Alerts & High Return Trading Ideas -... - January 9th, 2026 [January 9th, 2026]
- Machine Learning Models Forecast Imagicaaworld Entertainment Limited Uptick - Technical Resistance Breaks & Outstanding Capital Returns -... - January 2nd, 2026 [January 2nd, 2026]
- Cognitive visual strategies are associated with delivery accuracy in elite wheelchair curling: insights from eye-tracking and machine learning -... - January 2nd, 2026 [January 2nd, 2026]
- Machine Learning Models Forecast Covidh Technologies Limited Uptick - Earnings Forecast Updates & Small Investment Trading Plans -... - January 2nd, 2026 [January 2nd, 2026]
- Machine Learning Models Forecast Sri Adhikari Brothers Television Network Limited Uptick - Stock Split Announcements & Rapid Wealth Accumulation -... - January 2nd, 2026 [January 2nd, 2026]
- Army to ring in new year with new AI and machine learning career path for officers - Stars and Stripes - December 31st, 2025 [December 31st, 2025]
- Army launches AI and machine-learning career path for officers - Federal News Network - December 31st, 2025 [December 31st, 2025]
- AI and Machine Learning Transforming Business Operations, Strategy, and Growth AI - openPR.com - December 31st, 2025 [December 31st, 2025]
- New at Mouser: Infineon Technologies PSOC Edge Machine Learning MCUs for Robotics, Industrial, and Smart Home Applications - Business Wire - December 31st, 2025 [December 31st, 2025]
- Machine Learning Models Forecast The Federal Bank Limited Uptick - Double Top/Bottom Patterns & Affordable Growth Trading - bollywoodhelpline.com - December 31st, 2025 [December 31st, 2025]
- Machine Learning Models Forecast Future Consumer Limited Uptick - Stock Valuation Metrics & Free Stock Market Beginner Guides - earlytimes.in - December 31st, 2025 [December 31st, 2025]
- Machine learning identifies statin and phenothiazine combo for neuroblastoma treatment - Medical Xpress - December 29th, 2025 [December 29th, 2025]
- Machine Learning Framework Developed to Align Educational Curricula with Workforce Needs - geneonline.com - December 29th, 2025 [December 29th, 2025]
- Study Develops Multimodal Machine Learning System to Evaluate Physical Education Effectiveness - geneonline.com - December 29th, 2025 [December 29th, 2025]
- AI Indicators Detect Buy Opportunity in Everest Organics Limited - Healthcare Stock Analysis & Smarter Trades Backed by Machine Learning -... - December 29th, 2025 [December 29th, 2025]
- Automated Fractal Analysis of Right and Left Condyles on Digital Panoramic Images Among Patients With Temporomandibular Disorder (TMD) and Use of... - December 29th, 2025 [December 29th, 2025]
- Machine Learning Models Forecast Gayatri Highways Limited Uptick - Inflation Impact on Stocks & Fast Profit Trading Ideas - bollywoodhelpline.com - December 29th, 2025 [December 29th, 2025]
- Machine Learning Models Forecast Punjab Chemicals and Crop Protection Limited Uptick - Blue Chip Stock Analysis & Double Or Triple Investment -... - December 29th, 2025 [December 29th, 2025]
- Machine Learning Models Forecast Walchand PeopleFirst Limited Uptick - Risk Adjusted Returns & Investment Recommendations You Can Trust -... - December 27th, 2025 [December 27th, 2025]
- Machine learning helps robots see clearly in total darkness using infrared - Tech Xplore - December 27th, 2025 [December 27th, 2025]
- Momentum Traders Eye Manas Properties Limited for Quick Bounce - Market Sentiment Report & Smarter Trades Backed by Machine Learning -... - December 27th, 2025 [December 27th, 2025]
- Machine Learning Models Forecast Bigbloc Construction Limited Uptick - MACD Trading Signals & Minimal Risk High Reward - bollywoodhelpline.com - December 27th, 2025 [December 27th, 2025]
- Avoid These 10 Machine Learning Project Mistakes - Analytics Insight - December 27th, 2025 [December 27th, 2025]
- Infleqtion Secures $2M U.S. Army Contract to Advance Contextual Machine Learning for Assured Navigation and Timing - Yahoo Finance - December 12th, 2025 [December 12th, 2025]
- A county-level machine learning model for bottled water consumption in the United States - ESS Open Archive - December 12th, 2025 [December 12th, 2025]
- Grainge AI: Solving the ingredient testing blind spot with machine learning - foodingredientsfirst.com - December 12th, 2025 [December 12th, 2025]
- Improved herbicide stewardship with remote sensing and machine learning decision-making tools - Open Access Government - December 12th, 2025 [December 12th, 2025]