Anders Hansson
About Anders Hansson
Anders Hansson is the Lead Machine Learning Scientist at Recorded Future in Gothenburg, Sweden, where he has worked since 2021. He has extensive experience in machine learning and data science, having held various roles at notable organizations including Los Alamos National Laboratory and Ericsson.
Work at Recorded Future
Anders Hansson has been serving as the Lead Machine Learning Scientist at Recorded Future since 2021. He is based in Gothenburg, Vastra Gotaland County, Sweden. In this role, he focuses on utilizing advanced machine learning techniques to enhance the company's capabilities in analyzing vast amounts of information security data. His work involves the application of graph-based deep learning methods, which are essential for understanding complex data structures.
Previous Experience in Data Science and Machine Learning
Prior to his current position, Anders Hansson worked at several organizations in various capacities. He was a Senior Machine Learning Engineer at Zenseact from 2020 to 2021 and at ZENUITY from 2017 to 2020. He also held roles as a Data Scientist at Combitech Sverige from 2016 to 2017 and as a Senior Research Engineer at Ericsson from 2008 to 2016. His experience includes developing open-source intelligence solutions and engaging in MLOps practices.
Research and Academic Background
Anders Hansson has a strong academic background in engineering and information theory. He earned a Master of Science (MSc) in Electrical and Electronics Engineering from Chalmers University of Technology, where he also completed a Licentiate degree and a Doctor of Philosophy (PhD) in Information Theory. Additionally, he was a Visiting Research Scholar at the University of Southern California, focusing on Information Theory from 2000 to 2001.
Experience at Los Alamos National Laboratory
Anders Hansson has significant experience at Los Alamos National Laboratory, where he worked in various roles from 2005 to 2008. He served as a Member of Technical Staff and later as a Team Leader / Computer Scientist. His work during this period included postdoctoral research and contributions to computer science projects, emphasizing his expertise in advanced computational techniques.
Expertise in Machine Learning Techniques
Anders Hansson possesses specialized knowledge in several advanced machine learning techniques. He has experience in multimodal machine learning, which integrates various data types, including text and images. His work also involves knowledge distillation of large language models (LLMs) and prompt engineering. Additionally, he is skilled in MLOps, focusing on model tracking and governance to ensure effective deployment and management of machine learning models.