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to the interests of the researcher. About the Lab The AOCL works broadly at the intersection of control, optimization, and computing. We apply control, optimization, game-theory and machine learning to solve
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, biochemistry, molecular biology, protein engineering, computer science, artificial intelligence/machine learning, biophysics, nanotechnology, etc., are encouraged to apply.
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, artificial intelligence/machine learning, protein engineering, nanotechnology, genomics, parasitology and tropical medicine, neurodegenerative diseases, and gene editing.
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Cognitive Sciences Health Research Human-Computer Interaction Machine Learning Machine Perception, Speech Technology and Computer Vision Mobile Computing Natural Language Processing (including Information
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) Statistical Models and Machine Learning for the Design and Optimization of Novel Catalysts Eric Press Doctor of Philosophy in Zoology (PhD) Modular optic flow processing during natural locomotion Jessica
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Masters Doctoral The Friedman Award for Scholars in Health supports learning and research opportunities for graduate students or medical residents working in the broad area of health, to bring new
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. Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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Electrical and Computer Engineering (PhD) Machine learning acceleration on FPGAs Trevor Bolduc Doctor of Philosophy in Chemistry (PhD) Development of new methods and applications of sulfur-fluoride reagents
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environment with peer-to-peer learning. As one of Dr. Harris’s mentees notes, “Leila provides an example of the type of mentor I strive to be”. 2020 Kiran Soma A Professor in Psychology, Dr. Soma’s students