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POPL 2019
Sun 13 - Sat 19 January 2019 Cascais/Lisbon, Portugal
Taro Sekiyama

Registered user since Tue 8 Nov 2016

Name: Taro Sekiyama

Bio: I’m a research staff at IBM Research - Tokyo. I am interested in theory and applications of programming languages, such as type theory, program verification, type inference, program reasoning, and so on. The current research theme is to optimize and empower deep learning frameworks such as Caffe, Chainer, and so on.

Country: Japan

Affiliation: IBM Research, Japan

Personal website: http://researcher.ibm.com/researcher/view.php?person=jp-SEKIYM

Research interests: programming languages, type theory, gradual typing, contracts, effects, deep learning

Contributions

POPL 2019Committee Member in Artifact Evaluation Committee within the Artifact Evaluation-track
Author of Dynamic Type Inference for Gradual Hindley–Milner Typing within the Research Papers-track
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