Stephen Hall

After 25 years in the manufacturing and IT industry, I believe that decision making process can be improve dramatically by using technology to compute information and letting people to add what can not be modeled.
Machine learning, LMM, decision science, cloud computing are so advance and accessible that use cases are everywhere.
But finding the path that get to value is very hard because it requires soft skill, vision, patience and curiosity.
I am focusing on Wokforce scheduling, manufacturing and Supplier chain for the moment. Those cases are widely available with a positive impact on our society and environment.

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Rafael Martins

15+ years of experience in the HW & SW design industries, with particular emphasis on embedded and high availability systems. My career spanned from very technical hands on positions at first, such as embedded SW programmer, HW schematics and PCB designing, systems engineering all the way to now later management positions, such as team lead, project manager and director. I have worked for companies from 10 to 200 employees, and managed teams from 1 to 15 collaborators. I have been employed in Denmark throughout those years, but I have interfaced only with international customers, and the teams were generally very culturally and geographically diverse.

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Michael Skat Mikkelsen

For the past 25+ years i have been working with technology, primarily IT across multiple industries and geographies. I have gained a broad knowledge of business and how to translate this into technology implementations/process enablement. Currently i work in retail, but have management consulting experience from the financial sector in multiple geographies.

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Marcus Carstensen

▸ Ph.D. from DTU Electrical Engineering (Photonics)

▸ Co-founder and Chief Scientific Officer @OptoCeutics: A DTU and UC Berkeley spinoff

▸ Background in physics and engineering from DTU

▸ Published BSc. thesis in a peer-reviewed journal on high-speed holographic resonant laser printing. The research project and technology later won the European Innovation Radar prize in Excellent Science, 2018

▸ Research assistant in experimental optics and electro-optics at DTU Nanotech and Fotonik during bachelor and graduate studies

▸ Awarded $3000 for best MSc. thesis and received around 1 million DKK in soft funding allocated to the research project

▸ Co-authored 10+ journal and conference papers

▸ Awarded a Visiting Scholarship at CITRIS, UC Berkeley, California

▸ Studied physics at Rensselaer Polytechnic Institute, USA, as part of my bachelor in 2015

▸ Teaching assistant at DTU for mathematics; volunteer at UNF for mathematics and data science camps

▸ Principal investigator for Optoceutics within the large Marie Skłodowska-Curie ITN EU Project, ASTROTECH, funded by Horizon 2020

▸ Co-supervisor to three Ph.D. students

▸ Secured over 7 million DKK in soft funding; raised over 30 million DKK in equity

▸ Lead on four patent families, co-writing three

▸ Five years of experience in regulatory and clinical affairs for medical device development under MDR 2017/745

I’ve led fundraising efforts, strategic partnerships, and investor relations, building valuable connections with angel investors, venture capitalists, and founders of deeptech startups. As a founder myself at Optoceutics, I’ve navigated the seed-stage fundraising process and am currently focused on advancing our strategic goals toward securing Series A investment. I’m particularly passionate about exploring disruptive opportunities within biotech, healthtech, and neuroscience, and I actively support and advise other early-stage entrepreneurs based on my experiences.

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Jørgen Nygaard Nielsen

I have 20+ years experience within the financial it-space working with all aspects of enterprise it delivery.

My career has revolved around ensuring business value through strategic planning, strong operations and stakeholder involvement.

I started as a it programmer and have held a multitude of roles before settling on a management and leadership path.

I have always worked with a personal goal to bridge business value with technology striving to deeply understand the business processes that it supports and optimizes. This deep understanding has been a driving personal factor in successfully building and maintaining trustful relationships across the entire enterprise.

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Elisabeth Zinck

I graduated from mathematical modeling and computation at DTU in January 2022, and I have 3 years of experience working as a data scientist. I started my career working as a consultant at IBM where my work on projects included working with large language models, as a data engineer and forecasting electricity consumption and production. Now I’m working at atp at the fraud detection and AI solutions department.

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Duarte Carmo

I’m a technologist, born and raised in sunny Lisbon, now based in Copenhagen. My work lies in the intersection of Machine Learning & AI, Data, Software, and People. I’m in love with Technology, and how it can improve people’s lives.

In the past, I’ve worked in Consumer Electronics, Public Institutions, Big Three Management Consulting, and YC-backed startups. The common thread? Solving hard problems end-to-end.

My work is greatly shaped by my background and education. I’ve studied at the Superior Technical Institute of Lisbon, the Beijing Institute of Technology, and the Technical University of Denmark.

When I’m not solving hard problems, you can find me geeking out about new gadgets, writing code, reading, taking photos, or running.

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Christian Moesgaard

Christian is a software engineer with a strong background in mathematical modelling and high-performance computing. As Lead Software Engineer at SimCorp, he applies expertise in back-end development for complex web applications, GPU acceleration, and numerical computation for solving higher-order, non-linear differential equations. With experience in the FinTech industry and a wide range of programming languages — from C++ and Java to Haskell and MATLAB — Christian is passionate about delivering high-quality, maintainable, and efficient software. He focuses on designing architectures that unlock the potential of modern many-core systems for parallel and massively parallel computing.

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Alvin Andrian

Alvin is a senior AI/ML engineer with 6+ years’ experience delivering scalable machine learning systems across e-commerce, healthtech, industrial AI, and pharma. He specializes in end-to-end AI platforms, from model development and data pipelines to cloud infrastructure and deployment. With a track record in GenAI, RAG systems, and ML workflow design, Alvin bridges research and production while mentoring teams and shaping engineering strategy.

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Aleksander Santisteban

I’m a computer scientist with background in electrical engineering. My main area of expertise is cyber-security and data science. I’m passionate about problem solving and tinkering. I believe it is of tremendous importance for modern engineers to combine technical skills with thier soft skills, to foster emphatic communication and collaboration with internal and external stakeholders.

More about me: https://santisantis.github.io/

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