Marco Calderini
| Contact search available for JYU staff members. ORCID link: https://orcid.org/0000-0003-2532-3167 ResearchGate address: https://www.researchgate.net/profile/Marco-Calderini-2 |
General description
General information
I'm a postdoctoral researcher interested in the application of computational methods in biotechnology. I’m currently working with the research group Remote Sensing and Green Technologies at JYU. I have a background in biochemistry and environmental sciences with technical experience in analytical techniques such as GC-MS and HPLC. During my master’s and PhD, I studied how environmental conditions modulate the molecular composition of microalgae.
Research description
My research involves the development of protocols to acquire high quality ground truth data and then analyze and model such data.
My current research project has two main objectives:
- To integrate hydrogen producing algae into wastewater treatment to enhance the value addition of biological purification of wastewaters.
- To optimize process monitoring of algae production systems with the use of computational methods.
Active JYU affiliations
- Faculty of Information Technology, Postdoctoral Researcher
Previous, inactive or other affiliations
- Department of Biological and Environmental Science (University of Jyväskylä), Doctoral Researcher, Ended
- Department of Biological and Environmental Science (University of Jyväskylä), Doctoral Student (employment relationship), Ended
- Faculty of Mathematics and Science (University of Jyväskylä), Doctoral Student, Ended
- Department of Biological and Environmental Science (University of Jyväskylä), Project Researcher, Ended
Publications and other outputs
Author of research datasets
- Assessment of microalgae species, biomass and distribution from spectral images using a convolution neural network (2021) Salmi, Pauliina; et al.
- Eutrophication effect on production and transfer of omega-3 fatty acids in boreal lake food webs (Dataset) (2023) Calderini, Marco; et al.
- Fatty acid content, stable isotopes and fads2 gene expression in the perch (Perca fluviatilis) in Lake Pääjärvi between September 2020 and August 2021 (2022) Rigaud, Cyril; et al.
- Lipid monitoring of Chlorella vulgaris using non-invasive near-infrared spectral imaging ; Pääkkönen, Salli; et al.
- Metabolic plasticity of mixotrophic algae is key for their persistence in browning environments (2022) Calderini, Marco; et al.
- Temperature, phosphorus, and species composition will all influence phytoplankton synthesis and content of polyunsaturated fatty acids (complete dataset) (2023) Calderini, Marco; et al.
- Temperature, phosphorus, and species composition will all influence phytoplankton synthesis and content of polyunsaturated fatty acids (dataset) (2023) Calderini, Marco; et al.
