Jun Yamada
University of Southern California / Visiting research student神奈川県川崎市
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Jun Yamada
University of Southern California / Visiting research student
You must be the change you wish to see in the world.
University of Southern California visiting research student, University College London, MSc Data Science and Machine Learning (distinction)
Ambition
In the future
ロボット、強化学習、画像処理に全般に興味があり、現在は複雑なタスク（例えば家具の組み立てなど）をロボットが機械学習のアルゴリズムを使ってどのように解くことができるか、などを研究しています。 最終的には、複雑なタスクに置いて、汎用性が高くかつロバストなアルゴリズムを研究、開発をし実世界に応用できるようにしたいと考えています。
株式会社 SE42 months
Research intern(Intern)
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１枚の画像からどのようにして3Dのモデルを作るかに関するコンピューターグラフィクスの研究を行いました。
University College London
MSc Data Science and Machine Learning
I worked on applying reinforcement learning to the simulation of the population dynamics of agents. https://arxiv.org/pdf/2002.03267.pdf My research work was accepted to IJCNN 2020 as a spotlight paper.
株式会社GRID1 year
machine learning engineer
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The University of Tokyo
Complexity Science and Engineering
慶應義塾 / Keio University
理工学部管理工学科
KTH Royal Institute of Technology
Computer science
Probability Theory, Industrial Management, Machine learning, search engine and information retrieval, statistic method applied computer science Exchange student
Kitchhike5 months
エンジニア
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サービスの改善 社内システムの最適化
株式会社di-v2 years
Intern
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教育事業でのメンター業務 社内システムの開発・改善 社内サービスの開発(Protospace, 就活TECH::CAPM) TECH::WORK新規事業責任者
WealthNavi6 months
エンジニア(Intern)
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iVS に向けてのプロトタイプ作成、コーポレートページ作成
慶應義塾湘南藤沢高等部
University of Southern California
Visiting research studentPresent
I am currently working on research in developing algorithms to enable a robot to solve complex manipulation tasks in more realistic situations such as a cluttered environment. My work was accepted to CoRL 2020.
- Junction Hackathon
I participated Junction Hackathon in Finland during my exchange program in Sweden. My group made a fin-tech service to manage receipts easily and reduce consumption of unnecessary paper for the environment.
- Personalized News Recommender
This News Recommender based on personal user data such as what articles a user has liked or disliked previously and global user data such as how many times all user have liked the article was implemented in the Search Engine and Information Retrieval course in KTH. We implemented this system with Elastic Search which is well-known open source. My responsibility was to implement entire design and backend system which is written in python.
qiita.comSkills
Publications
Accomplishments / Portfolio
Awards and Certifications
言語
- English - Professional
- Japanese - Native