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Kalpana Raja, PhD, MRSB, CSci

Instructor of Biomedical Informatics and Data Science
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Contact Info

Biomedical Informatics & Data Science

100 College St

New Haven, CT 06510

United States

About

Titles

Instructor of Biomedical Informatics and Data Science

Biography

Kalpana Raja, PhD joined the Section of Biomedical Informatics & Data Science (BIDS) at Yale School of Medicine in February of 2023. Before moving to New Haven, CT, Kalpana worked as an assistant professor at the School of Biomedical Informatics, University of Texas Health Science Center (UTHealth) at Houston, TX. She also worked as a scientist at Sema4, a patient centered healthcare company located in Stamford, CT. Kalpana completed her bachelor’s degree in pharmacy from Tamil Nadu Dr. M.G.R. Medical University at Chennai, India. She is a registered pharmacist with the Indian Pharmacy Council. With a vision to develop software for biological applications, she completed her master’s degree in computing with a focus in software technology from The Robert Gordon University, Aberdeen, UK. She developed ProfileSKiM, an intelligent document retrieval tool, and submitted the findings in her MSc thesis. ProfileSKiM received a reward from the Robert Gordon University in 2005 and the Technology Award from the British Computer Society, London, UK in 2006. Kalpana completed her second master’s degree in bioinformatics and her PhD in computing: software technology – bioinformatics (inter-disciplinary) from Bharathiar University, Coimbatore, India. She presented her findings from the PhD research work at the 2012 Asia Pacific Bioinformatics Conference (APBC) held in Melbourne, Australia, and BioCreative Conference V held at Washington DC.

Kalpana’s research interests include natural language processing (NLP) and machine learning. She developed methodologies and software for information retrieval, information extraction, knowledge summarization, literature-based discovery, and automated hypothesis generation. She applied her approaches on various biological domains such as protein-protein interaction, protein phosphorylation, drug-drug interactions, adverse drug events, drug repurposing, and disease comorbidity. She also provided the NLP support for various genomics and transcriptomics projects. Kalpana has published more than 70 articles in peer reviewed journals, books, and conference proceedings. She has reviewed several research articles submitted to prestigious journals such as Briefings in Bioinformatics and serves as an associate editor in the Journal of Embryology & Stem Cell Research.

Kalpana was elected as a “Member of Royal Society of Biology” (MRSB) in 2019 by the Royal Society of Biology, London, UK. Recently, she was honored as the “Chartered Scientist” (CSci) by the Royal Society of Biology, London, UK. Kalpana also received the “2019 Women Scientist Award” from the Society for Bioinformatics and Biological Sciences, a non-profit professional society based in India.


Areas of Expertise

  • Natural Language Processing
  • Artificial Intelligence (AI)
  • Large Language Models (LLMs)
  • Deep Learning
  • Machine Learning
  • Biomedical informatics


Google scholar

https://scholar.google.com/cit...

Appointments

  • Biomedical Informatics & Data Science

    Instructor
    Primary

Other Departments & Organizations

Education & Training

PhD
Bharathiar University
MSc
Bharathiar University
MSc
The Robert Gordon University
BPharm
Tamilnadu Dr M G R Medical University

Research

Overview

Medical Research Interests

Comorbidity; Machine Learning; Medical Informatics; Natural Language Processing; Phosphorylation

Research at a Glance

Publications Timeline

A big-picture view of Kalpana Raja's research output by year.
10Publications

Publications

2022

2021

  • A summary on up-to-date research on fungal siderophores on disease, treatment and pathogenicity based on text mining, bioinformatics and experts’ opinion
    Prabahar, A., Shanmugam, L., Jose, M.A., Radhakrishnan, K.M., & Raja, K. A summary on up-to-date research on fungal siderophores on disease, treatment and pathogenicity based on text mining, bioinformatics and experts’ opinion. Springer Nature: Fungal siderophores – From Mineral-Microbe Interactions to Anti-pathogenecity. 2021, 187-210.
    Chapters

2020

2019

2018

Academic Achievements & Community Involvement

  • honor

    Full Member

  • honor

    Outstanding Reviewer

  • honor

    Chartered Scientist (CSci)

  • honor

    2019 Women Scientist Award

  • honor

    Chair Person

Get In Touch

Contacts

Mailing Address

Biomedical Informatics & Data Science

100 College St

New Haven, CT 06510

United States