Nithiya Jesuthasan

Tecnologo

E-Mail

nithiya.jesuthasan@cnr.it

PHONE

+390226422629

LOCATION

Segrate

ROOM (floor/number)

6/18; -1/3

Nithiya Jesuthasan holds a Degree in Applied Biology for Biomedical Research (2012) and a Master’s in Medical Statistics and Genomics (2018). She works at ITB‑CNR as a Level III Technologist, supporting multidisciplinary epidemiological research activities. Her work focuses on the planning and management of epidemiological projects, and the analysis of clinical data using advanced computational tools. She contributes to the preparation of protocols, SOPs, technical documents and project reports, and collaborates with research teams to ensure efficient coordination of activities. Her main areas of expertise include technical‑scientific support to research studies, as well as the planning and management of follow‑up activities, which include data collection, monitoring, processing and statistical analysis of data gathered in clinical and epidemiological studies. She collaborates with Fulvio Adorni and Federica Prinelli.

Research Activities

Exploring the inverse relationship between diseases and comorbidities by means of genetic and clinical data analysis.

Genome-wide association studies (GWAS) in large patient series and cohorts, also using biobank data.

Studying the dietary patterns and lifestyle behaviors of large cohorts of people of various ages and from different regions, and to analyze how these factors influence their health.

Epidemiological studies of infectious diseases (HIV/AIDS, TB, hepatitis B and C) in clinical and non-clinical cohorts, including natural history, disease progression monitoring, immunological, genetic and epidemiological risk factors, efficacy/effectiveness and safety of pharmacological interventions, drug-induced mutations/resistance.

Study of neurodegenerative diseases (i.e. cognitive impairment, dementia, Alzheimer's disease, Parkinson's disease) focused on identification of modifiable risk factors (e.g. lifestyles), disease assessment and progression.

Observational study of health determinants in an Italian population, using pooled real-world data and electronic health records.