Discover companies you will love

Jun Yamada

University of Southern California / Visiting research student神奈川県川崎市

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)

Sep 2019 - Oct 2019

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

Sep 2019

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

Aug 2017 - Aug 2018

The University of Tokyo

Complexity Science and Engineering

Mar 2018

慶應義塾 / Keio University

理工学部管理工学科

Mar 2018

KTH Royal Institute of Technology

Computer science

Jun 2017

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

Apr 2016 - Aug 2016

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

Oct 2014 - Mar 2016

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)

Mar 2015 - Aug 2015

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

2014

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.

qiita.com
rails + react + socket.iOによるリアルタイムチャットシステム
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.