Sonish Sivarajkumar

Ph.D. Student in Intelligent Systems

Intelligent Systems Program
School of Computing and Information
University of Pittsburgh
Email:  sonish.sivarajkumar@pitt.edu

Research Scholar

UPMC Hillman Cancer Center
Email:  sivarajkumars2@upmc.edu

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Sonish Sivarajkumar is a Ph.D. student in Intelligent Systems at University of Pittsburgh, supervised by Dr. Yanshan Wang. His research focusses on designing and validating advanced Natural Language Processing(NLP) and deep learning techniques for clinial information retrieval and extraction. His research interests include NLP, information retrieval, information extraction and applications of these topics for clinical discoveries and improving healthcare. He is also interested in generative AI and foundational models that can create novel patient embeddings.

He is an experienced professional in the field of healthcare and pharmaceutical industry, with a focus on AI technologies. With extensive industrial experience, he has established himself as an expert in the development of AI technologies in the healthcare industry. Before pursuing his PhD, Sonish served as a data scientist at IQVIA, in IQVIA's AI CoE, wheren he contributed to the development of AI-based solutions for various healthcare applications. Sonish has also worked as an AI research intern at Genentech (Roche Pharmaceutical) in the gRED (Genentech Research and Early clinical Development) team, in the development of NLP techniques in drug discovery and clinical development. He had a significant stint at Merck, where he was involved in utilizing AI and NLP methods to analyze oncology providers' adherence to NCC guidelines and the quality of care for early-stage breast cancer patients.

Education

  (Expected) Ph.D. Intelligent Systems, University of Pittsburgh 2021 - Present
     

Biography » CV (PDF)»


News

  • Publication Sept, 2024: Paper on Human Evaluation of Generative LLMs in Healthcare accepted in NPJ Digital Medicine
  • Other Aug, 2024: Completed the internship at Eli Lilly & Co.
  • Publication June, 2024: Paper on Sleep information extraction from Alzheimer's Disease patient's clinical notes accepted in JAMIA
  • Other May, 2024: Joining Eli Lilly & Co. as NLP Research Intern
  • Publication April, 2024: Automating detection of treatment progression in lung cancer patients accepted in ASCO
  • Organizer March, 2024: Appointed as Publication chair of EBAIC-ICHI 2024
  • Publication February, 2024: Paper on extracting physical rehabilitation exercise information accepted in JMIR-MI
  • Publication January, 2024: Paper on prompting strategies for LLMs in zero-shot clinical NLP accepted in JMIR-MI
  • Submission Nov, 2023: Fair Patient Model published in JBI
  • Presentation Nov, 2023: Mitigating Bias in Digital Twins presented at Digital Health Summit
  • Submission Sept, 2023: Clinical Prompt Engineering submitted to a Journal
  • Other Sept, 2023: Completed Summer internship at Merck
  • Other June, 2023: Joined Merck as Data Science Research Intern
  • Submission May, 2023: Fair Patient Model submitted to Journal of Biomedical Informatics(JBI)
  • Publication May, 2023: Few-Shot learning for clinical NLP paper published in Journal of Medical Internet Research(JMIR) AI
  • Submission Feb, 2023: Submitted Counterfactual Explanations Abstract to a conference
  • Publication April, 2023: Evaluation of HealthPrompt for Zero-shot Clinical Text Classification accepted(ICHI 2023)
  • Submission Feb, 2023: Submitted Clinical Information Retrieval paper to a Journal
  • Organizer Dec, 2022: Appointed as Publication chair of EBAIC-ICHI 2023
  • Publication Nov, 2022: Healthprompt paper presented at AMIA 2022.
  • Other Aug, 2022: Completed the internship at Genentech(Roche)!
  • Other May, 2022: Joined Genentech(Roche) as gRED AI Research Intern

  • Selected Publications All Publications»

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    • Conference Paper Sonish Sivarajkumar, Yanshan Wang(2022). HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing. [pdf, poster]
    • Conference Paper Sonish Sivarajkumar, Haneef Ahamed Mohammad, Samual Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang(2022). Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. [pdf]
    • Journal Article Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang (2023). Clinical Information Retrieval: A Literature Review [pdf]
    • Journal Article Sonish Sivarajkumar, Yufei Huang, Yanshan Wang (2023). Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records. [pdf]
    • Journal Article David Oniani, Premkumar Chandrasekar, Sonish Sivarajkumar, Yanshan Wang (2023). Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks. [pdf]
    • Journal Article Sivarajkumar S, Kelley M, Samolyk-Mazzanti A, Visweswaran S, Wang Y. "An empirical evaluation of prompting strategies for large language models in zero-shot clinical natural language processing", Journal of Medical Internet Research-Medical Informatics (JMIR-MI 2024)
    • Journal Article Sivarajkumar S, Gao F, Denny PE, Aldhahwani BM, Bove A, Visweswaran S, Wang Y. "Extracting Physical Rehabilitation Exercise Information from Clinical Notes: Algorithm Development and Validation Study", Journal of Medical Internet Research-Medical Informatics (JMIR-MI 2024)
    • Journal Article Sivarajkumar, S, Viggiano, S, Oniani, D, Visweswaran, S, & Wang, Y. "Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing", Journal of American Medical Informatics Association (JAMIA 2024)
    • Journal Article Sivarajkumar, S, Edupuganti, S, Bhattacharya, M, Lazris, D, Davis, M, Huang, Y, & Wang, Y, "Automating the detection of treatment progression in patients with lung cancer using large language models", Journal of Clinical Oncology (JCO 2024)

    Awards and Honors

    • Scholarship PhD Fellowship, University of Pittsburgh, Pittsburgh, PA, USA, 2021-2023.
    • Other IQVIA Impact Awards, 2020.