Rasmus Gregersen

Jacob Bjerregaard

As a Senior Environmental Data Analyst with nearly 10 years of experience in pharmaceutical production, I bring a broad and hands-on perspective to sustainability in complex manufacturing environments. I have had several roles during this time, both in consultancy designing production facilities and processes — ranging from small-scale setups to very large, multi-stakeholder projects — and in production oriented functions working directly alongside production lines, navigating the real-world challenges and constraints of pharmaceutical manufacturing.

Over the past decade, my focus has increasingly sharpened on environmental sustainability, particularly in identifying and driving optimization opportunities. In my current role, I tackle the critical issue of water withdrawal at both the enterprise and site levels. Through strategic data collection, metering strategies, and data analysis, I provide decision support that informs both local operations and global strategic planning.

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Rasmus Gregersen

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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Rasmus Gregersen

Stina Lyck Carstensen

I have 10+ years of experience working at the intersection of data, compliance, and business value, both as an individual contributor and as a team leader. My career has focused on making data accessible, trusted, and usable. Transforming raw data into actionable insights that drive decisions and innovation across large organizations. I specialize in data engineering, privacy-by-design, and data governance strategy, with a strong passion for creating value from data in a responsible and sustainable way. Whether it’s designing data platforms, aligning processes with regulations, or empowering teams to leverage data securely, my goal is to help businesses unlock data-driven potential while upholding the highest standards of quality and compliance.

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Rasmus Gregersen

Ivan Costa Abalo

I have over 8 years of experience in the healthcare industry, spanning both medical devices and pharmaceuticals. My career began in Buenos Aires, Argentina (where I’m from), working hands-on maintaining and repairing medical devices, an experience that gave me a strong technical foundation. Over time, I discovered a passion for education as I began training healthcare professionals on the proper use of these devices, which was very rewarding.

Later, I transitioned into data, stepping briefly outside the healthcare sector to join Mærsk Drilling, where I developed data quality indicators. This confirmed how much I enjoy the intersection of data and science, so I eventually returned to healthcare, joining Novo Nordisk as a Clinical Trial Data Manager and later moving to Zealand Pharma, where I’m currently based. This role allows me to combine stakeholder management with scientific thinking and data-driven project management.

I’m now focused on strengthening my leadership skills and growing into more strategic roles, ideally within data management, where I can continue bridging science, systems, and people.

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Rasmus Gregersen

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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Rasmus Gregersen

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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Rasmus Gregersen

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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Rasmus Gregersen

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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Rasmus Gregersen

Arseny Shilikhin

Arseny is a principal SAP HANA/BW/Datasphere consultant and certified ScrumMaster with 14+ years of experience delivering BI solutions for leading Danish companies in manufacturing, biotech, and retail. A certified SAP BW/4HANA and SAP HANA professional, he specializes in designing and developing reports, dashboards, and data warehousing solutions within finance, sales, and manufacturing. With a background in Global Business Engineering, Arseny bridges deep technical expertise with a strong understanding of business processes to deliver impactful, scalable analytics solutions.

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