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Industrial Affiliates Program

IA Program Directors

IA Program Members

Baidu Research

Contact: Le Van La (

Co-located in Silicon Valley and Beijing, Baidu Research brings together top talent from around the world to focus on future-looking fundamental research in artificial intelligence. Our research directions include deep learning, computer vision, speech recognition and synthesis, natural language understanding, data mining and knowledge discovery, business intelligence, artificial general intelligence, high performance computing, robotics and autonomous driving.


Contact: Brad Betts (

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: Carrie Grimes (

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 world's best known brands. Headquartered in Mountain View, California, Google employs about 20,000 people. Google's technology draws on various fields, and areas of mutual interest between Google and the Stanford Statistics Department include, e.g., data mining.


Contact: Yuval Peres (

Founded in 1975, Microsoft is a worldwide leader in software, services, devices and solutions that help people and businesses realize their full potential. In Microsoft Research, more than 1,000 scientists and engineers work in research labs worldwide, making significant product contributions and collaborating on external projects that help solve global challenges. Areas of common interest between the Stanford Statistics Department and Microsoft Research include Machine Learning, Stochastic Optimization, Probability Theory, Information Theory, MCMC, Data Mining and Graphical Models.

Stitch Fix

Contact: Eric Colson (

Stitch Fix is an e-commerce start-up that is changing the way we shop. The company combines the art of fashion with the science of data and algorithms to bring personal styling to a broad market of consumers across the US. By combining statistical learning techniques with expert-human judgment, the styling service is able to commit to its recommendations through the physical delivery of merchandise to clients.

Several members of the Algorithms team are Stanford grads and the team is partnering with academia for research, recruiting, and collaboration.

Systematica Investments

Contact: Gueorgui Todorov (

Systematica Investments is an investment management firm focusing on rigorously applying science and technology to its investment process. The firm was founded by Leda Braga and manages approximately $10.2bn (as of 1 March 2016) across a number of futures and equity-based strategies. The philosophy of the firm is one of innovation, excellence in research, and a commitment to fostering strong alignment with investors. Systematica Investments has a global presence with offices in Jersey, Geneva, London, New York, and Singapore.

Two Sigma Investments, LLC

Sanam Shetty (

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.