Luba Orlovsky
About Luba Orlovsky
Luba Orlovsky serves as the Head of Machine Learning and Algorithmic Research at Earnix, where she has worked since 2019. With a background in analytics and a focus on fairness in AI, she has held various roles in prominent organizations and has contributed to the field through her research and advocacy.
Work at Earnix
Luba Orlovsky has been with Earnix since 2015, initially serving as a Senior Data Scientist. In 2017, she transitioned to the role of Algorithmic Research Team Manager, where she contributed to the development of advanced algorithms until 2019. Currently, she holds the position of Head of Machine Learning and Algorithmic Research. Her work focuses on integrating machine learning techniques to enhance the company's offerings, emphasizing ethical considerations in AI applications.
Education and Expertise
Luba Orlovsky earned her Master of Science degree from the Technion - Israel Institute of Technology, where she studied from 2004 to 2007. She also holds a Bachelor of Science in Industrial Engineering from the same institution, completed between 1999 and 2004. Her academic background provides a strong foundation for her expertise in machine learning, algorithm development, and data science.
Background
Luba Orlovsky has a diverse professional background, having worked in various roles across multiple countries. She began her career as an Algorithm Developer at Earnix from 2007 to 2010. She later served as a Market Analyst at Nielsen in New York and held positions at Vimpelcom in both Russia and the Netherlands, including roles as Head of Analytics and Churn Manager. Her international experience spans across analytics, customer experience, and research.
Achievements
Luba Orlovsky has made significant contributions to the field of machine learning and AI ethics. She focuses on fairness and ethics in algorithmic processes, advocating for equal opportunities across diverse groups. She authored a blog post titled 'Introducing the Fairness Lab: The Next Step in Ethical AI,' which reflects her commitment to promoting ethical standards in technology.