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    Daniel Neiberg

    Bridging the gap between data and business

    Daniel Neiberg is a highly accomplished individual with a Ph.D. and Master of Science in electrical engineering. He possesses a diverse range of expertise in signal processing, statistics, machine learning, large-scale data mining, and human affective behavior.

    Despite not identifying as a programmer, Daniel has a proficient understanding of various programming languages and can make necessary adjustments and coding hacks, particularly in Linux environments. His academic journey includes authoring and co-authoring over 30 publications during his Ph.D. studies.

    Daniel's educational background features studies in Linguistics at Stockholm University, a Master of Science in Electrical Engineering from KTH Royal Institute of Technology, and coursework in Mathematics at Stockholm University.

    Throughout his career, Daniel Neiberg has held several significant roles in different organizations. He has worked as an Associate Director of Data Science, Senior Analytics Product Manager, Business Operation Manager, and Senior Data Scientist at King. Furthermore, he has also been a Research Engineer and Ph.D. Student at the Department of Speech, Music and Hearing at Royal Institute of Technology (KTH). Prior to that, he served as a Software Developer at Asahi-Kasei Corporation Speech Solutions and gained research experience as a Research Engineer at the Department of Speech, Music, and Hearing at KTH.

    Daniel Neiberg
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    Location

    Greater Stockholm Metropolitan Area