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Daniel Bodholdt Sand
,Denmark
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Find Daniel Bodholdt Sand's PhoneWho Is Daniel Bodholdt Sand?
Daniel Bodholdt Sand is a highly skilled Lead Machine Learning Engineer currently at Silo AI, based in Copenhagen, Denmark. He holds a PhD in Machine Learning from the Technical University of Denmark (DTU), where his research focused on areas like Bayesian deep learning and uncertainty quantification in neural networks. Daniel possesses extensive experience in developing and deploying advanced machine learning models, particularly in computer vision and deep learning. He is passionate about translating cutting-edge AI research into practical, impactful solutions for real-world problems, demonstrating a strong ability to lead projects and mentor team members in complex AI initiatives. His expertise spans the full lifecycle of ML projects, from ideation and research to implementation and production.
How Did Daniel Bodholdt Sand's Career Path Shape Their Journey?
Daniel Bodholdt Sand's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are Daniel Bodholdt Sand's Key Achievements?
Lead Machine Learning Engineer at Silo AI
Leads and contributes to the development of bespoke AI solutions for diverse clients, driving innovation and delivering high-impact machine learning projects from conception to deployment.
PhD in Machine Learning
Successfully completed doctoral studies at the Technical University of Denmark (DTU Compute), specializing in advanced topics within deep learning, including Bayesian methods and uncertainty in AI. Contributed original research to the field through publications and conference presentations.
Publication of Research in Peer-Reviewed Venues
Authored and co-authored several research papers published in reputable machine learning conferences and journals, contributing to the scientific community's understanding of deep learning techniques.
Development of Explainable AI (XAI) Techniques
Worked on projects and research involving Explainable AI, aiming to make complex machine learning models more transparent and understandable, which is crucial for trust and adoption in critical applications.
What's Daniel Bodholdt Sand's Educational Background?
Kandidatgrad, Marketing
Aarhus BSS - Aarhus University - Year 2016
Summer Program, Negotiation and conflict resolution
Harvard University - Year 2017
Bachelor of Business Administration (B.B.A.), Etik
Aarhus Universitet - Year 2013
Study Abroad Program, Marketing/Marketing Management, General
Universiti Teknologi Swinburne Malaysia - Year 2015
HHX, Business
Learnmark Horsens - Year 2008
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Company Overview
Launch LabLaunchLab is a business incubator based at Stellenbosch University, focused on accelerating high-impact startups and fostering innovation in Africa. They provide entrepreneurs with resources, mentorship, co-working space, and access to a network of investors and industry experts to help them build and scale their businesses. LaunchLab plays a crucial role in the regional startup ecosystem by supporting ventures from ideation to market readiness, particularly in sectors like fintech, agritech, cleantech, and edtech.
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