OpenTox Virtual Conference 2021 Session 7 Summary
Omics evidence is becoming a key source of information supporting knowledge frameworks for next generation risk assessment. Related applications help in screening new chemicals and drugs being developed on a day-to-day basis, identifying biomarkers important for studying the disease mechanisms, developing the concept of Adverse Outcome Pathways (AOPs) for characterising modes of action and key events, and predicting related points of departure. This session will focus on evidence-based approaches enabled by omics data analysis which reinforce use of new approach methods in risk assessment.
CV: MSc Pranika Singh is a PhD studentat Edelweiss Connect. Her research training and career development are supported by the EC-funded project Marie Skłodowska-Curie Action (MSCA), named ‘in3’.
Hailing from India, she took her first step towards bioinformatics when she joined the Jaypee University of Information Technology, India for her bachelor's studies.
During the course of her studies, she was exposed to various aspects of bioinformatics and was actively involved in small challenging projects related to it.
She was motivated to continue in the same and decided to pursue her master's degree from the University of Bonn, Germany, and meanwhile got an opportunity to work at Fraunhofer SCAI as a research assistant. She gained a lot of experience in research working at SCAI by being part of many projects which were offered to her. She also got training in specialized domains like Life Science Knowledge Discovery, Semantic Web development, and Machine Learning.
She has gained a lot of experience while working with data integration and analysis which motivates her to work for her Ph.D. project which involves database management and data analysis.
Her passion involves traveling, reading books and she strongly believes in growing by learning from whatever comes along in life.