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基調講演者

10/30(金)13:30 - 14:30
「材料研究を変革する統計的機械学習の先進技術」

吉田 亮 氏

情報・システム研究機構 統計数理研究所

[概要]

本グループが開発しているオープンソースソフトウェアXenonPyは,マテリアルズインフォマティクスの様々なタスクに対する機械学習モジュールを実装している.本講演では,高分子熱物性の研究や走査型電子顕微鏡を用いた材料組織の予測と制御など,様々な適用事例を紹介しながら,次世代の材料研究を駆動する統計的機械学習の先進技術(ベイジアンコンピューティング,実験計画法,深層生成モデル等)を解説する.

[略歴]

博士(学術).2004年総合研究大学院大学統計科学専攻修了,東京大学医科学研究所ヒトゲノム解析センター・特任助教(2005-),情報・システム研究機構 統計数理研究所・助教(2007-),同研究所・准教授(2011-)を経て,2018年より教授.2017年7月より同研究所ものづくりデータ科学研究センター・センター長.国立研究開発法人 物質・材料研究機構・招聘研究員,総合研究大学院大学 複合科学研究科 統計科学専攻 教授を兼任.マテリアルズインフォマティクス統合解析プラットフォームXenonPyの開発を推進.JST-CREST「熱制御」領域,科研費新学術領域「ハイパーマテリアル:捕空間が創る新物質科学」における活動を通じて,高分子や準結晶を対象とするマテリアルズインフォマティクスの学術創生に従事.

10/31(土)13:30 - 14:30
「ビジネス支援型データサイエンティストの仕事の型」

河本 薫 氏

 

滋賀大学データサイエンス学部教授 兼 データサイエンス教育研究センター副センター長 

元 大阪ガス(株)ビジネスアナリシスセンター所長

[概要]

データ分析を単なる分析で終わらさずにビジネス成果につなげるにはどうすればいいか?前職時代に失敗を繰り返した経験から、うまくいかない原因とそれを乗り越える仕事の型を編み出した。ポイントは、データ分析に着手する前の段階で、暗黙知を形式知化することである。本講演では、そのやり方を体系化してお話ししたいと思う。

[略歴]

1991年、京都大学応用システム科学専攻修了。大阪ガスに入社。1998年から米国ローレンスバークレー国立研究所でエネルギー消費データ分析に従事。帰社後、大阪ガスにてデータ分析による業務改革を推進。2011年からデータ分析組織であるビジネスアナリシスセンターの所長を務め、大阪ガスにおいてデータ分析組織を定着させた。日経情報ストラテジーが選ぶ初代データサイエンス・オブ・ザ・イヤーを受賞。2018年4月より現職。博士(工学、経済学)。著書に『会社を変える分析の力』(講談社現代新書)、『最強のデータ分析組織』(日経BP)など。NHKプロフェッショナル仕事の流儀にも出演。

Talk and Turotial Presenters

Crissman Loomis

After starting Python programming while hacking the Pokemon Go API, Crissman joined the machine learning team at Preferred Networks, a Japanese startup. He has worked there for three years, focussing on documentation and presentations at programming conferences, like SciPy, GTC, and ODSC. His ODSC West workshop on Deep Learning was selected as one of the top 10 workshops for learning Machine Learning.

Genevieve Buckley

Genevieve Buckley is a scientist and programmer based in Melbourne Australia, and builds software tools for scientific discovery. Her interests include deep learning, automated analysis, and contributing to open source projects. She has a wealth of professional experience with image processing and analysis spanning x-ray imaging, fluorescence microscopy, and electron beam microscopy. She is a maintainer for the dask-image project.

Jyh-Miin Lin, MD, MSc, PhD

 

Education

2012–2016 Ph.D. Radiology, University of Cambridge

2005–2007 M.Sc. Department of Electrical Engineering, National Taiwan University

1999–2005 M.D. Department of Medicine, National Taiwan University

Academic Appointments

2019–2020 Senior Research Associate, CEA Grenoble

2018–2019 Research Associate, University College London

2016–2018 Postdoc, Department of Electrical Engineering, National Taiwan University

2011–2012 Post-doctoral (MD) research assistant, Duke University Medical Center, NC, USA

Matt Hancock

Matt Hancock is a senior scientific software developer at Enthought in Austin, Texas. He holds a PhD in applied mathematics from Florida State University, where he performed research related to image processing and machine learning for medical imaging problems.

Max Frenzel

Max Frenzel is an AI researcher, writer, and digital creative. He is the R&D Lead at Bespoke Inc. and author of the bestselling book Time Off: A Practical Guide to Building Your Rest Ethic and Finding Success Without the Stress. Max has also been interested in the applications of AI and deep learning to creativity, design, and music, and he is a regular public speaker on topics such as AI and creativity. In his time off, Max enjoys good coffee, tries to perfect his bread baking skills, and produces electronic music and performs around Tokyo. You can find him online at www.maxfrenzel.com.

Naoki Yoshii 

Naoki Yoshii 2002年に東京エレクトロンへ入社。半導体のプロセス開発を主に担当、現在は技術マーケティングとして機械学習を利用したプロセス/材料開発の支援などを行っている。

Ram Rachum

Ram Rachum is a software developer specializing in Python. When he's not writing his biography in the third person, he's doing consulting work for clients big and small, giving Python training to teams that would like to deepen their Python skills, and organizing the bi-monthly PyWeb-IL conference. Python training: http://pythonworkshops.co/

Robert Crowe

Robert Crowe is a self-described data scientist and TensorFlow addict who has a passion for helping developers quickly learn what they need to be productive. He's used TensorFlow since the very early days and is excited about how it's evolving quickly to become even better than it already is. Before moving to data science Robert led software engineering teams for both large and small companies, always focusing on clean, elegant solutions to well-defined needs. You can find him on Twitter at @robert_crowe

Sandeep Subramanian

Sandeep Subramanian has a Masters in Computer Science and Engineering with a specialization in Machine Learning and likes to work on projects where Machine Learning meets Software Engineering.

Sayak Paul

Sayak Paul is currently working at PyImageSearch on Computer Vision and Deep Learning. His projects span across a wide variety of topics including model optimization, generative modeling, CRNN architectures, and so on. Previously at DataCamp, Sayak developed projects (Predicting Credit Card Approvals and Analyze International Debt Statistics), and practice pools (Advanced Deep Learning with Keras (requires a login to see)). Prior to DataCamp, he worked at TCS Research and Innovation (TRDDC) on Data Privacy. There, he was a part of the cyber security research team working on TCS’s critically acclaimed GDPR solution called Crystal Ball. His subject of interest broadly lies in the area of visual representation learning. He loves open-source initiatives and currently, he is actively contributing to TensorFlow Hub. Off the work, he likes writing technical articles, working on applied Machine Learning ideas, and giving talks at developer meetups and conferences.

Shotaro Ishihara 

Shotaro Ishihara is a data scientist at a Japanese media company, engaged in data analysis and service developments. While studying computer science at university, he was also involved in a university press. He has participated in machine learning competitions and has experiences of getting first place on a Kaggle competition, hosting a Kaggle Days Tokyo competition and publishing a technical book for beginners. The International News Media Association gave him “ 30 Under 30 Awards and Grand Prize” in 2020.

Sutou Kouhei

Sutou Kouhei is an Apache Arrow PMC member.

Tetsuo Koyama

Tetsuo Koyama is a CAE software engineer in Japan. He is interested in scientific computing and visualization with computer graphics. He's writing a self-published book entitled "Getting Started with GetFEM". This book is a Japanese translation of the Python interface tutorial from GetFEM, an open source finite element method library.

Wakana Nogami

Wakana Nogami is a Software Engineer at Mercari and is in charge of developing and maintaining image search system.

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