Shweta Yadav
About Shweta Yadav
Shweta Yadav is a Postdoctoral Researcher currently working at The National Institutes of Health in the Washington DC-Baltimore Area. She has a background in Natural Language Processing, Artificial Intelligence, and Biomedical Informatics, with a Ph.D. from the Indian Institute of Technology, Patna.
Work at National Institutes of Health
Shweta Yadav has been employed as a Postdoctoral Researcher at the National Institutes of Health since 2020. In this role, she conducts research in the Washington DC-Baltimore Area, focusing on areas such as Biomedical Informatics and Information Extraction. Her work contributes to advancing knowledge in the fields of Natural Language Processing and Artificial Intelligence.
Previous Experience at Wright State University
Prior to her current position, Shweta Yadav worked as a Postdoctoral Researcher at Wright State University from 2019 to 2020. During her tenure, she engaged in research activities that further developed her expertise in Natural Language Processing and Artificial Intelligence.
Education and Expertise
Shweta Yadav earned her Doctor of Philosophy (Ph.D.) in Natural Language Processing and Artificial Intelligence from the Indian Institute of Technology, Patna, where she studied from 2014 to 2018. Additionally, she has a Master of Technology (M.Tech.) in Computer Science from Punjabi University, obtained from 2011 to 2013. She also served as a Junior Research Fellow at the Indian Institute of Technology, Roorkee, focusing on Machine Learning from 2013 to 2014.
Research Background
Shweta Yadav has a strong research background, having worked as a Research Scholar at the Indian Institute of Technology, Patna from 2014 to 2020. Her research interests primarily include Natural Language Processing, Artificial Intelligence, Text Mining, and Social Media analysis, which she has developed throughout her academic and professional career.
Skills in Text Mining and Social Media Analysis
Shweta Yadav possesses specialized skills in Text Mining and Social Media analysis. These skills complement her research focus and enhance her contributions to projects related to Biomedical Informatics and Information Extraction.