Dr. Nikiforos Alygizakis is an Analytical Chemist, holding a PhD in Analytical Chemistry and an MSc in Data Science. He studies contaminants of emerging concern, which are chemicals that are not regulated and are not included in routine monitoring programs. His research focuses on water quality assessment, including antimicrobial resistance, contaminants in ecosystems, and wastewater-based epidemiology. To achieve his research goals, he employes high-resolution mass spectrometry, non-target screening, and modeling techniques such as machine learning and deep learning.
Dr. Nikiforos Alygizakis is an Analytical Chemist, holding a PhD in Analytical Chemistry and an MSc in Data Science. He studies contaminants of emerging concern, which are chemicals that are not regulated and are not included in routine monitoring programs. His research focuses on water quality assessment, including antimicrobial resistance, contaminants in ecosystems, and wastewater-based epidemiology. To achieve his research goals, he employes high-resolution mass spectrometry, non-target screening, and modeling techniques such as machine learning and deep learning.
One important achievement is the creation of the Digital Sample Freezing Platform (https://dsfp.norman-data.eu/), which is a core component of the NORMAN Database System (NDS). NDS is a pan-European effort to gain better insights into chemicals in the environment and beyond. Through his publications, he has demonstrated the potential of retrospective suspect screening to revolutionize environmental chemical monitoring. For example, in the context of the LIFE APEX project (https://lifeapex.eu/), retrospective suspect screening has been used on data from top predator and prey samples retrieved from Environmental Specimen Banks (ESBs) and Natural History Museums (NHMs), as well as in wastewater treatment plants in the context of the ANSWER project. His research extends beyond the environment applications to food and human biomonitoring through the European Partnership for the Assessment of Risks from Chemicals (PARC project; https://www.eu-parc.eu/).
One important achievement is the creation of the Digital Sample Freezing Platform (https://dsfp.norman-data.eu/), which is a core component of the NORMAN Database System (NDS). NDS is a pan-European effort to gain better insights into chemicals in the environment and beyond. Through his publications, he has demonstrated the potential of retrospective suspect screening to revolutionize environmental chemical monitoring. For example, in the context of the LIFE APEX project (https://lifeapex.eu/), retrospective suspect screening has been used on data from top predator and prey samples retrieved from Environmental Specimen Banks (ESBs) and Natural History Museums (NHMs), as well as in wastewater treatment plants in the context of the ANSWER project. His research extends beyond the environment applications to food and human biomonitoring through the European Partnership for the Assessment of Risks from Chemicals (PARC project; https://www.eu-parc.eu/).
He uses liquid chromatography (LC) and gas chromatography (GC) coupled with high-resolution mass spectrometry to achieve a comprehensive characterization of organic contaminants in samples. He collaborates with experts from Europe and beyond through the PARC and NORMAN networks (www.norman-network.net)
He uses liquid chromatography (LC) and gas chromatography (GC) coupled with high-resolution mass spectrometry to achieve a comprehensive characterization of organic contaminants in samples. He collaborates with experts from Europe and beyond through the PARC and NORMAN networks (www.norman-network.net)
