Our Students & ECRs Get to know the researchers behind the science of polar blue carbon.

Our Students & ECRs Get to know the researchers behind the science of polar blue carbon.

Get to know the researchers behind the science of polar blue carbon.

Meet the graduate students (Master & PhD), Post-Docs, and ECRs (2-7 years post PhD) involved with SEA-Quester! See all our young research professionals’ contributions to the project.

AllECRWP1WP4WP5WP6WP7WP8ABOAUDTUHEREONIO PAN
ECR

Claudia Schmidt

ECR

Henrieka Detlef

ECR

Kristin Doering

ECR

Mads Ramsgaard Stoltenberg

ECR - Data Manager

Marcin Wichorowski

ECR

Ndubuisi Ukpabi

ECR

Phoebe Armitage

ECR

Rafael Goncalves-Araujo

ECR

Sha Ni

ECR

Subhadip Mukherjee

ECR

Claudia Schmidt

PhD Student

Marine Carbon Cycling

Org:hereon

Email:Claudia.Schmidt@hereon.de

Phone:+49 (0)4152 87-2151

ECR

Henrieka Detlef

Assistant Professor, Department of Geoscience

ECR

Kristin Doering

Postdoc
Department of Geoscience

ECR

Mads Ramsgaard Stoltenberg

PhD Student
Department of Geoscience

ECR - Data Manager

Marcin Wichorowski

CIO at Institute of Oceanology, Polish Academy of Science

Org:IOPAN

ECR

Ndubuisi Ukpabi

Postdoc, Department of Geoscience

My specialization centers on the examination/interpretation of microfossils, with a focus on nannofossils and palynology. My professional activities encompass their use in reconstructing paleoenvironments and paleoecologies, dating geological ages (relative dating), establishing biozones, guiding drilling decisions (biosteering), and delineating biostratigraphic/sequence stratigraphic frameworks. I am expanding my expertise to include foraminiferal, geochemical, and paleoceanographic studies.

ECR

Rafael Goncalves-Araujo

Dr.

Org:DTU

Email:rafgo@aqua.dtu.dk

Phone:+45 22157879

Scopus Profile:View

ECR

Subhadip Mukherjee

I’m a PhD student at the Department of Geosciences, Aarhus University, within the GreenTrace Project. I specialize in arctic paleooceanography research with a focus on X-Ray CT image processing, and numerical methods. My doctoral work focuses on developing and refining Machine Learning segmentation models for CT scans, especially for trace fossils and sedimentary structures, with the aim of using bioturbation traces as a paleoenvironmental proxy and quantifying past carbon storage in the Arctic.

Occasionally I also dabble in a bit of marine geochemistry, paleomagnetics, and paleoclimate studies.