Making a Better Match
01-14-20
Professor Adam Wierman worked with a cross-disciplinary team to improve the Pasadena Unified School District's open-enrollment algorithm. Wierman knew from experience that the district's open-enrollment process was not optimal. "I couldn't help but notice that it wasn't particularly well designed," says Wierman. "There was a huge opportunity, I thought, to improve." With the team's new and improved algorithm, families are more likely to get their top match and are also more likely to keep their children in the school district rather than enrolling them in private or charter schools. [Caltech story]
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research highlights
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Adam Wierman
Meet the 2018 Amazon Fellows
01-16-19
The Amazon Fellows program is the result of a partnership between Caltech and Amazon AWS around Machine Learning and Artificial Intelligence (AI). The 2018 Amazon fellows are Ehsan Abbasi, Gautam Goel, Jonathan Kenny, Palma London, and Xiaobin Xiong. Abbasi is interest in contributing to a deeper understanding of convex and non-convex learning methods in AI and is an Electrical Engineering graduate student working with Professor Babak Hassibi. Goel’s research interest is at the interface of the theory and practice of machine learning and is advised by Professor Adam Wierman. London is also working with Professor Wierman. She is developing efficient algorithms for solving extremely large optimization problems. The methods are applicable to distributed and parallel optimization. For example in a distributed data center setting, the algorithms are robust to unreliable data transfer between data centers and take into account privacy concerns. Kenny is a Computation & Neural Systems graduate student working with Professor Thanos Siapas on deep neural networks to identify and classify brain states. Xiong is a mechanical engineering graduate student who enjoys working on real physical robots, to make them walk, jump, and run in real life. He is advised by Professor Aaron Ames and their research is focused on robotic bipedal locomotion
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MCE
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Adam Wierman
Babak Hassibi
Thanos Siapas
Aaron Ames
Ehsan Abbasi
Gautam Goel
Jonathan Kenny
Palma London
Xiaobin Xiong
New Major and Minor in Information and Data Sciences
09-25-18
Starting in fall 2018, EAS will offer students a new undergraduate degree option in a field that is at the forefront of computer science: information and data sciences (IDS). Mathematics will form the backbone of the new option. Students in IDS will take core courses focusing on machine learning, information theory, probability, statistics, linear algebra, and signal processing. After that, they will have the opportunity to branch out with electives that cover applications of data sciences to science and engineering. Professor Adam Wierman hopes the creation of this new option will prepare both students and Caltech for the future. "It almost doesn't matter what you're interested in. If you want to make discoveries and be on the cutting edge of your field, you're going to need the skills to analyze and manipulate large collections of information," he says. [Caltech story] [Degree option details]
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teaching
Build I.T. and They Will Come
03-02-18
When Adam Wierman joined Caltech’s faculty in 2007, he set out to find a new challenge. “I wanted to do something about a problem of fundamental importance,” he says. “Climate is the problem.” To help clean up computing, he decided to design new algorithms for the management of data centers, communication networks, and our power grid. He hoped to find ways to improve the energy efficiency of I.T. infrastructure. But these efforts lead to Jevons paradox—a variation of “If you build it, they will come.” Economist William Jevons wrote in 1865, “It is wholly a confusion of ideas to suppose that the economical use of fuel is equivalent to a diminished consumption.” In other words, as people like Wierman make computing and the grid more efficient, we use more, out-spending the savings. [Breakthrough story]
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Adam Wierman
AWS and Caltech Partner to Accelerate AI and Machine Learning
11-30-17
From autonomous robotics to state of-the-art computer vision, Caltech and Amazon have a lot in common, including the belief that pushing the boundaries of artificial intelligence (AI) and machine learning (ML) will not only disrupt industries, but it will fundamentally change the nature of scientific research. As part of this two-year renewable research collaboration, Amazon will provide both financial support, in the form of funding for graduate fellowships, and computing resources, in the form of AWS Cloud credits, to accelerate the work of faculty and students at Caltech in these areas. [AWS AI Blog]
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Adam Wierman
Pietro Perona
Joel Tropp
Yisong Yue
Aaron Ames
Animashree Anandkumar
2017 ASCIT Teaching Award
06-23-17
Adam Wierman, Professor of Computing and Mathematical Sciences; Executive Officer for Computing and Mathematical Sciences; Director, Information Science and Technology, has been chosen by the Associated Students of the California Institute of Technology (ASCIT) to receive a 2017 ASCIT Teaching Awards. These awards recognize individuals who inspire and motivate students, are approachable, and present course material effectively and efficiently. [Caltech story]
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Adam Wierman
