Hanwen (Lily) Zhang Receives 2019 Henry Ford II Scholar Award
Computation and Neural Systems student Hanwen (Lily) Zhang, advised by Professor Thanos Siapas, is a recipient of the 2019 Henry Ford II Scholar Award. Her research interests include exploring how different brain regions interact to give rise to goal-oriented behaviors and our ability to learn, remember and generalize our knowledge to novel situations. This summer, she will be working as a SURF fellow to explore the hippocampal dependence of auditory associative learning. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to engineering students with the best academic record at the end of the third year of undergraduate study.
Henry Ford II Scholar Award
Hanwen (Lily) Zhang
Meet the 2018 Amazon Fellows
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
Caltech Celebrates 30 Years of its Computation and Neural Systems Option
Computation and Neural Systems (CNS) at Caltech explores the relationship between the physical structure of a computational system and the dynamics of its operation, as well as the computational problems that it can efficiently solve. At the symposium Professor Pietro Perona told the audience, despite CNS's success, its faculty members never rest on their laurels; they regularly reevaluate whether to continue the option and how to evolve its scope to keep it intellectually vibrant. Professor Carver Mead remarked, “I think it's true that the fields we bring together in CNS really do synergize. The goals aren't so different. Because to build something you have to understand it. And if you understand it, you can build it. That's a saying that Dick Feynman got from me." [Caltech story]