معرفی
Dr. Ramya Tekumalla serves as Assistant Professor in the Department of Informatics and Mathematics within Mercer University's College of Professional Advancement. Her research centers on mining massive unstructured datasets and curating domain-specific data through advanced machine learning, natural language processing, and statistical inference methodologies.
Her educational foundation includes:
- PhD in Computer Science, Georgia State University (2022)
- MS in Computer Science, Georgia State University (2015)
- BS in Computer Science, Gitam University (2013)
Dr. Tekumalla's research spans Data Mining, Natural Language Processing, and Biomedical Informatics, with demonstrated impact in pharmacovigilance and pandemic characterization. Having processed over 16 billion Tweets for NLP applications, she develops open-source data pipelines using Python, SQL, and NLP tools while adhering to FAIR data principles to maximize research reproducibility and community benefit.
Her scholarly contributions show strong alignment with health informatics applications, particularly in automated phenotype extraction using large language models as evidenced by her 2024 Genomics and Informatics publication and OHDSI Symposium presentation.
Recognition includes:
- Best Community Contribution Award, OHDSI (October 24, 2024)
As an educator with seven years of engineering experience, she teaches INFD 602, INFD 615, and INFD 645, integrating practical data engineering skills with cutting-edge research applications. Her commitment to open science drives community-oriented research development and collaborative problem-solving in health data sciences.
