Raphael Labaca-Castro, PhD

Work Experience

02/2022 - Present SandboxAQ (Munich, Germany): Machine Learning Lead
Leading an ML team in the nexus of AI and quantum disciplines
10/2017 – 01/2022 Research Institute CODE (Munich, Germany): ML Researcher
Research on adversarial ML and interested on understanding adversarial attacks against ML classifiers
02/2021 – 02/2022 Google X (Munich, Germany): ML Engineer
Launched a new project to support crypto-agility within organizations
02/2020 – 05/2020 Google X (Mountain View, CA, USA): PhD Resident
Accomplished up to 10x performance improvement to optimize a real-world challenging problem
11/2018 – 02/2019 Deep Science Ventures (London, UK): Co-founder & ML Engineer
Developing novel machine learning models to optimize the chemistry of batteries.
04/2011 – 09/2017 ESET (Germany): Research Lead
Led a regional group of researchers in Argentina and then relocated to Germany to manage a global team

2017 - 2022 Universität der Bundeswehr München – Germany
Ph.D. in Adversarial Machine Learning (summa cum laude with distinction)
2012 - 2016 Universidad de Buenos Aires – Argentina
Master in Information Security – Thesis grade: 100%
2009 - 2010 Ruhr Universität Bochum – Germany
Exchange undergraduate student at the Institute for Neural Computation
2004 - 2011 Universidad Tecnológica Nacional – Argentina
B.S. & M.S. in Information Systems – Distinguished Graduate (Top 5% of class)

Universität der Bundeswehr München: Graduated PhD as summa cum laude with highest honors
Universidad Tecnológica Nacional: 2nd highest GPA of graduation class for undergrad CS program
DAAD Computer Engineering Scholarship : Top ~5% (120+ candidates) in Argentina for a 6-month AI program in Europe, including best motivation letter and second best German language test results at national level