Dana Rosenfarb

Dana Rosenfarb has a diverse work experience in various roles and companies. Dana is currently working as a Research Data Science Team Lead at Mobi Systems, where they are responsible for researching and developing machine learning models and knowledge graph models for point-of-interest data. In addition, they lead the data and human preference characterization systems and builds and grows the team to support R&D responsibilities. Prior to this, Dana worked as a Researcher at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), studying language representation in the human brain through intracranial neural recordings. Dana also worked as an NLP Data Scientist at Intuit and as an Undergraduate Researcher at Harvard University, investigating hybrid flows in the vasculature using machine learning algorithms. Before that, Dana gained experience as a Research and Development Intern at Chain Reaction Ltd. and as a Machine Learning Algorithm Engineer at ThetaRay. Dana also worked as a Computer Science and Cyber Teacher at The Israeli Ministry of Education and held multiple roles at Israeli Military Intelligence - Unit 8200, including Research & Development Team Lead, Training Officer, and Product Manager.

Dana Rosenfarb obtained a Bachelor's degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology between 2018 and 2021. Following this, they pursued a Master of Engineering (MEng) in Computer Science from the same institution, completing it from 2019 to 2022.