The first robot Natalie Thanomvajamun built didn’t work. At all. And she had no idea what she was doing. But she remained persistent and step by step her robotic systems became more robust and refined, which peaked in participating in the ABU Robocon. Natalie is majoring in Robotics at the Tokyo Institute of Technology. Her work includes Science Communication, Econophysics and Control Theory.
Una Softic studied old languages. While she was working for a tech giant in Germany, she deep-dived into the world of natural language processing and could use her domain expertise to gain more insights from data. After working for a startup in Silicon Valley she moved to Tokyo and decided to jump into the next big technology: Blockchain. Her recent projects involve 2 successful ICOs and the management of the international Fintech content at Nikkei Digital Innovation Group.
Long time ago, Yan Fan used to be a trader. But finance wasn’t her thing. Apps were her thing. She came up with more and more interesting ideas for Apps, but at some point she couldn’t ask her developer friends for more engineering favors. That’s why she started to write code herself. And she became very serious about it. She joined a coding bootcamp, which marked the beginning of her career as a software engineer and coding instructor in Silicon Valley. Today she’s the CTO of Code Chrysalis, an advanced software engineering bootcamp in Tokyo.
Miku Hirano knows how to conduct meticulous research in artificial intelligence, execute fast and serve her clients with 100% accuracy, through deep learning and final human check. Miku is a Serial Entrepreneur and Angel Investor. She received her MSc in Artificial Intelligence from Tokyo University and won the Innovative Software Creation Program (Super Creator Award) under Information Technology Promotion Agency Japan (IPA) in 2005 and 2006. She sold her first startup to mixi.inc. Today she’s the CEO of Cinnamon, an artificial intelligence startup with more than 80 AI engineers in Japan and Vietnam.
Even though the demand for talent is constantly growing, women still remain underrepresented in the world of technology. By empowering women to choose career paths in high-tech fields, such as Artificial Intelligence, Data Science or Blockchain, we can help democratizing, expanding and diversifying cutting-edge tech that is changing the world. We heard the inspiring stories of our four speakers at Machine Learning Tokyo’s kick-off event: Women in Tech. More than 80 people came to support and engage.