Masahiro Kazama
SNS: twitter(@masa_kazama), note, LinkedIn
Contact: kazama.masa[atmark]gmail.com
Please contact me via gmail or twitter DM for work requests. I am an advisor and lecturer on machine learning as a side job.
Ubie, inc.
Apr 2020 - Present
Senior Machine Learning Engineer
Building a data science team and developing machine learning products.
Indeed, Tokyo Japan
Apr 2018 - 2020
Software Engineer and Data Scientist
I developed recommender systems. Working with colleagues, we published a paper to RecSys conference. Also I contributed to gensim library.
Habitech, Inc.
Apr 2015 - Present
Data Scientist and Researcher
Working with Yoshiki Ishikawa (Habitech, Inc), Lav Varshney (University of Illinois at Urbana-Champaign) and Keisuke Matsushima (French Michelin star chef), we are creating a new machine learning based personalized recipe generator.
We presented our result at the South by Southwest (SXSW) 2017 at Austin.
Recruit Technologies Co., Ltd (Recruit Holdings Co., Ltd)
Apr 2015 - Mar 2018
Data Scientist
As a data scientist, I am engaged in various data analysis and recommendation system development. I successfully built a recommendation engine which compared with the previous system, increased sales by 2.7 million dollars.
University of Tokyo
Master of Interdisciplinary Information Studies
Apr 2013 - Mar 2015
Tokyo Institute of Technology
Bachelor of Mechano-Aerospace Engineering
Apr 2009 - Mar 2013
Apple TV CM（YouTube）
(2014) Masahiro Kazama, Wataru Kurebayashi, Takahiro Tsuchida, Yuta Minoshima, Mikio Hasegawa, Koji Kimura, Hiroya Nakao, Enhancement of noise correlation for noise-induced synchronization of limit-cycle oscillators by threshold filtering, Nonlinear Theory and Its Applications, IEICE
(2018) Masahiro Kazama, Minami Sugimoto, Chizuru Hosokawa, Keisuke Matsushima, Lav R. Varshney, and Yoshiki Ishikawa. "A neural network system for transformation of regional cuisine style." Frontiers in ICT 5 (2018): 14.
(2016) Masahiro Kazama, Istvan Varga, Cross Domain Recommendation Using Vector Space Transfer Learning, RecSys 2016, Boston
(2016) Masahiro Kazama, Issei Sato, Haruaki Yatabe, Tairiku Ogihara, Tetsuro Onishi, and Hiroshi Nakagawa, Company Recommendation for New Graduates via Implicit Feedback Multiple Matrix Factorization with Bayesian Optimization, IEEE International Conference on Big Data 2016, Washington D.C.
(2017) Masahiro Kazama and Istvan Varga, Multi Cross Domain Recommendation Using Item Embedding and Canonical Correlation Analysis, RecSys 2017, Italy
(2017) Masahiro Kazama and Viviane Takahashi, Active Preference Learning for Generative Adversarial Networks, IEEE International Conference on Big Data 2017 Workshop, Boston
(2017) Masahiro Kazama and Viviane Takahashi, Sequential Line Search for Generative Adversarial Networks, Machine Learning for Creativity and Design NIPS 2017 Workshop, Long Beach, California, USA.
(2019) Mogenet, Adrien, Tuan Anh Nguyen Pham, Masahiro Kazama, and Jialin Kong, Predicting online performance of job recommender systems with offline evaluation. RecSys 2019, Denmark
(2019) Issei Sato, Masahiro Kazama, Masashi Ugawa, Hiroaki Adachi, Fumiya Shimada, Mask structure optimization device, mask structure optimization method, and program