Helix Lab Fellows, Class of Fall 2026

Class of Fall 2026

The Helix Lab Fellows, Spring 2026, come from five universities (Technical University of Denmark, University of Copenhagen, Aarhus University, Aalborg University, IT University of Denmark) and are collaborating with six companies (Novo Nordisk A/S, Novonesis A/S, Unibio A/S, NNE, Meliora Bio, Dyrehøj Vineyard).

You can read more about their collaboration and motivation for becoming Helix Lab Fellows down below.

If you are interested in hearing more about the Helix Lab Program, you can read more here.

Dan Asbjørn Linnemann Axelsen

University

Aalborg University (AAU)

MSc Study:

Chemistry

Company

Novonesis A/S

Project title

Large scale implementation of enzymatic ultrafiltration cleaning

Dan Asbjørn Linnemann Axelsen

Eldhose Mathew

University

University of Southern Denmark (SDU)

MSc study

Medicinal Microtechnology

Company

FORCE Technology

Project title

Self-disinfectant Materials based Coatings as CIP in Food Industry

Eldhose Mathew
Frederik Horn-Petersen

Frederik Horn-Petersen

University

Aalborg University (AAU)

MSc study

Electronic Systems

Company

Novonesis A/S

Project title

Verbally controlled mobile robotic platform for automated inspection of Novonesis production facilities utilizing computer vision and AI

Mahdis

Mahdis Khazraie

University

Technical University of Denmark (DTU)

MSc Study:

Biotechnology

Company

SKØL Brewing company

Project title

Valorization of Brewer’s Spent Grain for Sustainable Protein Production

Mihai-Alexandru Ciobotea

University

Technical University of Denmark (DTU)

MSc Study:

Environmental Engineering

Company

Kalundborg Utility

Project title

Advanced feasibility investigation of a desalination plant using lab- and pilot-scale membrane experimental setups

Mihai-Alexandru Ciobotea
Villiam Østergaard Brøkner

Villiam Østergaard Brøkner

University

Aalborg University (AAU)

MSc study

Electronic Systems

Company

Novonesis A/S

Project title

Verbally controlled mobile robotic platform for automated inspection of Novonesis production facilities utilizing computer vision and AI