Contributors
About the authors
Ivan Vasilev started working on the first open source Java Deep Learning library with GPU
support in 2013. The library was acquired by a German company, where he continued its
development. He has also worked as machine learning engineer and researcher in the area
of medical image classification and segmentation with deep neural networks. Since 2017 he
has focused on financial machine learning. He is working on a Python open source
algorithmic trading library, which provides the infrastructure to experiment with different
ML algorithms. The author holds an MSc degree in Artificial Intelligence from The
University of Sofia, St. Kliment Ohridski.
Daniel Slater started programming at age 11, developing mods for the id Software game
Quake. His obsession led him to become a developer working in the gaming industry on
the hit computer game series Championship Manager. He then moved into finance,
working on risk- and high-performance messaging systems. He now is a staff engineer
working on big data at Skimlinks to understand online user behavior. He spends his spare
time training AI to beat computer games. He talks at tech conferences about deep learning
and reinforcement learning; his blog can be found at www.danielslater.net. His work in
this field has been cited by Google.
Gianmario Spacagna is a senior data scientist at Pirelli, processing sensors and telemetry
data for internet of things (IoT) and connected-vehicle applications. He works closely with
tire mechanics, engineers, and business units to analyze and formulate hybrid, physics-
driven, and data-driven automotive models. His main expertise is in building ML systems
and end-to-end solutions for data products. He holds a master's degree in telematics from
the Polytechnic of Turin, as well as one in software engineering of distributed systems from
KTH, Stockholm. Prior to Pirelli, he worked in retail and business banking (Barclays), cyber
security (Cisco), predictive marketing (AgilOne), and did some occasional freelancing.
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