After graduating from Columbia University, Computer Science Department, Eric worked at Morgan Stanley MUFG Securities Co., Ltd.
As the 13th employee of Salesforce.com Co. Ltd., Jun contributed as sales representative to the company’s rapid growth for 15 years, since the company began its business.
Stefano has a solid background in statistics and machine learning with a specialization in Monte Carlo methods. He has 6 years of experience with C++ and LuaJIT both of which he self-learnt. His main interests are probabilistic modeling and black-box adaptive methods.
Thierry is particularly interested in applied Mathematics in general,
David has extensive experience in the use of genetic algorithms for the optimization of non- linear high-dimensionality dynamic solutions and is generally interested in fitness landscape theory. He has applied various machine learning technologies and frameworks to solve practical problems.
Max is a quantum physicist with a strong interest in AI and machine learning. He has a PhD in quantum information theory from Imperial College London. During his PhD studies, he was awarded a JSPS fellowship and spent one year doing research in the University of Tokyo.
Vagif has been involved in research related to neural networks and deep learning since 2012, with several publications in the field. He also has several years of professional software engineering experience. He holds a
Rémy is trained in mathematics, statistics and computer science. He is a data enthusiast willing to design and implement state-of-art applications. His interests are focused on data mining, statistical analysis and machine learning with an emphasis on artificial intelligence.
Philip’s expertise spans a broad spectrum of computer science topics, including machine learning, deep learning, and image processing. He is proficient in many programming languages and works with many state of the art development and deployment tools such as Docker, AWS and Google Cloud Platform. Additionally, he is certified in Cassandra, Spark, and Cisco Networking.
Joe's goal is to build accessible and intuitive AI solutions through scalable application infrastructure and APIs. His research and educational background in natural language processing (NLP) and bioinformatics is complemented by practical experience with modern programming languages (Python, Node, Go), machine learning libraries (TensorFlow), and cloud platforms (Google Cloud, AWS). He is a certified Apache Spark and Apache Cassandra developer.
Martin is experienced in advanced machine learning and deep learning, and is trained in analyzing and processing large data sets. In the latest project Mr. Nordstrom has also worked at the forefront in computer clustering and with the architecture of an internal cluster platform. Martin is certified Apache Spark developer.
Andrew is specializing in Deep Reinforcement and Imitation Learning, with a particular focus on policy gradient and actor-critic methods. He is also interested in natural language processing, as well as unsupervised learning. He has a Bachelor of Science in EECS from UC Berkeley.
Ray is an expert in cloud computing
Nick is particularly interested in building, testing and deploying web applications. Having worked a great deal with AngularJS and Meteor, he knows how to optimize web apps for speed while maintaining a structured codebase. Nick also has a thorough understanding of the server side and knows how work with Docker, HAProxy and various AWS services.
Jorta has more than 10 years of experience in Graphic design, Digital creative in Advertisement field for Wieden+Kennedy, AKQA, Saatchi and Saatchi which kind of leading creative agency in Japan. He has a good skill by hybrid style between design architect and concept making.
Toshi started his career at a web marketing company as a sales person and improved his sales expertise at a software company headquartered in the USA. Afterwards, he got involved in the launch of new businesses in Japanese market, where he was in charge of sales, marketing, and new business development.
Emi joined reactive after experiencing a playing manager at a foreign financial company. she is currently also studying MBA at NUCB business school in order to improve her innovation and creative perspectives.
Yumi had various experiences
as a receptionist, sales person, and team trainer at the company headquartered in Australia. She has been committed to support engineers, researchers, sales people and executives
with her superior communication skill at Reactive.