Jordan Dea-Mattson is a 35 year veteran of high tech. He wrote the first code for which he was paid in 1981 and has been involved in software development and engineering ever since. He has seen more technologies, programming languages, and technology fads come and go than he can keep track of, which has required him to embrace a process of continual learning, personal development, and reinvention.

Jordan has worked at Apple (he was present at and involved in the events of the day Steve Jobs returned following the purchase of NeXT by Apple), Adobe Systems, Yahoo, and a number of Silicon Valley startups including Ooyala and Numenta. After over 30 years in Silicon Valley, he has relocated to Singapore where he has been the VP of Engineering at TradeGecko and Carousell. He is currently Site Director, Singapore for Indeed.COM, the world’s largest job site.

His personal passion is building and growing the software engineering and startup ecosystems in Singapore and throughout Southeast Asia. He invests significant time and energy mentoring students and young entrepreneurs in Singapore, as well as advising startups. In his free time, he trains for and competes in triathlons.

Katharine Jarmul is a pythonista and founder of Kjamistan, a data science and machine learning consulting company in Berlin, Germany. She has been using Python since 2008 to solve and create problems. She helped form the first PyLadies chapter in Los Angeles in 2010, and co-authored an O'Reilly book along with several video courses on Python and data. She enjoys following the latest developments in machine learning, security, natural language processing and workflow automation infrastructure and is generally chatty and crabby on Twitter, where you can keep up with her latest shenanigans (@kjam).

Alan Descoins is the CTO of Tryolabs. He holds a Computer Engineering degree and has +7 years of experience doing consultancy for companies in Silicon Valley, mostly focused on developing robust backends, scalable infrastructures and Machine Learning based algorithms, using the Python stack. Currently, he acts as the main consultant for every project Tryolabs does, and is an active member of the R&D team. Alan is a Python expert with deep understanding of Machine Learning related technologies.

Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants, a group focusing on the use of open source technologies for financial data science, artificial intelligence, algorithmic trading and computational finance. He is the author of the books

• Python for Finance (O'Reilly, 2014), * Derivatives Analytics with Python (Wiley, 2015)
• Derivatives Analytics with Python (Wiley, 2015)
• Listed Volatility and Variance Derivatives (Wiley, 2017)

Yves lectures on computational finance at the CQF Program, on algorithmic trading at the EPAT Programand on data science at htw saar University of Applied Sciences. He is also the director of the first online training program leading to a University Certificate in Python for Algorithmic Trading. Yves has written the financial analytics library DX Analytics and organizes meetups, conferences and bootcamps about Python for quantitative finance in London and New York. He has given keynote speeches at technology conferences in the United States, Europe and Asia.