JOYETA GHOSH

About

Dr. Joyeta Ghosh is a multidisciplinary scientist whose work spans public health nutrition, computational biology, and data science. She holds a Ph.D. in Biochemistry from the University of Calcutta, where she conducted ground-breaking research as a DST Inspire Fellow on the antimicrobial properties of vitamin D against foodborne pathogens. Her academic journey also includes a master’s degree in data science from Liverpool John Moores University, equipping her with advanced analytical tools to enhance her research on health and disease.

Dr. Ghosh began her career in 2011 as a public health nutritionist, working on community-based health programs to address critical health challenges. Over the years, her research focus expanded to include gut health, cardiovascular disease prediction, and sexually transmitted infections (STIs), particularly in the Indian context. She is currently leading projects on the molecular epidemiology of antimicrobial resistance in Staphylococcus aureus and investigating STI-related diseases in India.

Her expertise also extends to space health research, having collaborated with NASA on their "In-Flight Food System" project under the GRC scheme. This project, conducted in partnership with CROWD PLAT, aims to optimize food systems for long-duration space missions, ensuring astronaut health and performance during space exploration.

Dr. Ghosh’s innovative research has been instrumental in integrating computational techniques with biological data, enabling breakthroughs in precision nutrition, vaccine development, and disease modelling.

With a passion for mentoring and interdisciplinary collaboration, Dr. Ghosh continues to push boundaries in science and technology, contributing to innovative solutions for global and extra-terrestrial health challenges.

Employment

• Amity University - Kolkata Campus Assistant Professor-III
  2023 - Present
• NSHM Knowledge Campus Assistant Professor
  2018 - 2023
• Lady Brabourne College Guest Lecturer
  2015 - 2018

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (47)

• Machine learning to predict tetracycline resistance using antimicrobial phenotypic resistance profiles of Neisseria gonorrhoeae from global database
  Systems Ethnopharmacology and Sustainable Bioresources 2026 DOI: 10.1016/j.sesb.2026.100005
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• Secure Smart Nutrition Systems
  2026 DOI: 10.4018/979-8-3373-5258-9.ch009
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• The Role of Nutritional Management in Natural Disasters, Environmental Challenges, and Technological Pathways to Sustainable Recovery
  2026 DOI: 10.4018/979-8-3373-2680-1.ch014
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• AI-Powered Precision Nutrition in Metabolic Syndrome Management
  2025 DOI: 10.4018/979-8-3373-3196-6.ch005
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• Women Empowerment by Breaking Barriers
  2025 DOI: 10.4018/979-8-3373-6345-5.ch003
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• Future Trends in Artificial Intelligence for Medical Applications
  2025 DOI: 10.4018/979-8-3693-9816-6.ch020
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• Integrative Pharmaceutical and Nutritional Approaches to Epigenetic Modulation in Skin Aging
  2025 DOI: 10.4018/979-8-3693-9730-5.ch014
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• Technology, Artificial Intelligence, and the Era of Information in Healthcare and Allied Sciences
  2025 DOI: 10.4018/979-8-3693-9755-8.ch016
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• Reframing Cancer as an Immunological Disorder Through Personalized Nutrition and AI Integration
  2025 DOI: 10.4018/979-8-3693-9725-1.ch012
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• Artificial Intelligence in Predicting, Diagnosing and Preventing Sexually Transmitted Infections (STIs)
  Venereology 2025 DOI: 10.3390/venereology4020005
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