Moad
Hani
- Short biography: Moad Hani graduated with an engineering degree in applied mathematics and computer science and did many internships in Morocco in the fields of virtualization, cloud computing, security and data science. He then joined the University of Luxembourg to specialize and obtained a master's degree in adaptive computing, having the chance to do 4 full research contracts with different research teams around hot topics (conformal learning, causal learning, resilience simulation of complex adaptive systems, and data privacy in dark patterns and AI). Currently, he is a teaching assistant and pursuing a PhD on the applicability of AI to help optimize healthcare monitoring decisions, including breast cancer and Parkinson's disease.
- Moad Hani has strong and extensive skills in data and machine learning. He has extensive experience from 4 years of working on a variety of data products and 2 years of intermittent research. He thoroughly enjoys participating in improving challenging environments by proposing and implementing forward-thinking ideas. He always takes on challenges and takes initiative. Honest and curious, he does not hesitate to question himself to improve the quality of his work. He is people-oriented, then goal-oriented, because real change only happens when people are at the heart of the decision. Among his work drivers: ("Encourage innovation, deep knowledge and critical thinking", "Set clear expectations" and "Have a common vision with visible impact").