Industrial Affiliates Program

AIL SV is an innovation arm for Renault-Nissan-Mitsubishi, collectively known as the Alliance. Our work combines innovations in technology and business to push the cutting edge of mobility. AIL SV itself was born out of two complementary Alliance teams known as the Nissan Research Center and Renault Open Innovation, which joined efforts to help foster a new chapter in the future of mobility. Our research covers a wide array of focus areas including Autonomous Systems, AI Research and Applications, Connected Car Services, Materials Informatics, Predictive Analytics, and Smart Cities.

Contact: Vikram Krishnamurthy (Vikram.Krishnamurthy [at] nissan-usa.com)

BlackRock is a leader in investment management, risk management and advisory services for institutional and retail clients worldwide. At December 31, 2014, BlackRock’s AUM was $4.652 trillion. BlackRock helps clients meet their goals and overcome challenges with a range of products that include separate accounts, mutual funds, iShares(r) (exchange-traded funds), and other pooled investment vehicles. BlackRock also offers risk management, advisory and enterprise investment system services to a broad base of institutional investors through BlackRock Solutions(r). Headquartered in New York City, as of December 31, 2014, the firm had approximately 12,200 employees in more than 30 countries and is a major presence in key global markets, including North and South America, Europe, Asia, Australia and the Middle East and Africa.

Contact: Brad Betts (Brad.Betts [at] blackrock.com)

Citadel is a leading investor in the world’s financial markets. Our global team works to help our clients’ capital fulfill its greatest potential across a diverse range of markets and investment strategies, including fixed income and macro, equities, quantitative, commodities and credit. Citadel Securities is a global market maker that provides liquidity to ensure institutions and retail investors can trade what they want, when they want, in all market conditions around the world. By providing dependable liquidity, market makers build confidence in market integrity.

Contact: Ali Plutnicki (Ali.Plutnicki [at] citadel.com)

Google’s mission is to organize the world’s information and make it universally accessible and useful. Google is now recognized as the world’s largest search engine, and its utility and ease of use have made it one of the planet’s best-known brands. Headquartered in Mountain View, California, Google employs about 20,000 people. Google’s technology draws on various fields, with data mining representing just one of many areas of mutual interest shared with the Stanford Statistics Department.

Contact: Carrie Grimes (cgrimes [at] google.com)

Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 590+ million members worldwide, LinkedIn is the world's largest professional network on the Internet. LinkedIn’s team of data scientists and researchers work with huge amounts of data, solve real problems for our members around the world, and publish at major conferences. Areas of common interest between the Stanford Statistics Department and LinkedIn include machine learning, A/B testing and observational causal inference, data and graph mining, statistical forecasting, and much more.

Contact: Kim Capp (kcappstanaka [at] linkedin.com)

Munich Re is one of the world’s leading providers of reinsurance, primary insurance, and insurance-related risk solutions. Innovation power, unrivalled expertise in all aspects of risk and a sound financial footing: these are the strengths Munich Re stands for when customers face extraordinary risks. As pioneers in risk assessment, we drive the digital transformation of the global insurance landscape, expanding products and services as new forms of risk emerge. From space rocket launches to cyberattacks to pandemics, we take care of risks while our clients take care of business. We are taking on risks of every type and complexity. Our consistent risk management, financial stability, and client proximity make us a much sought-after, trusted business partner. Areas of common interest between the Stanford Statistics Department and Munich Re include, e.g., distribution-free uncertainty quantification.

Contact: Michael Berger (mberger [at] munichre.com)

We are a technology company that applies a rigorous, scientific method-based approach to investment management. Since our founding in 2001, Two Sigma's vision has been to develop technological innovations that intelligently analyze the world's data to consistently deliver value for our clients. Our technology – inspired by a diverse set of fields including artificial intelligence and distributed computing – and our commitment to Research & Development aim to ensure that our methods are constantly improving and advancing.

Contact: Leighton Symons (Leighton.Symons [at] twosigma.com)