Here's who I am & what I do

About

Hey, I am Nidhi Soley thanks for stopping by. I am a Ph.D. candidate in the Biomedical Engineering (BME) Department at the Johns Hopkins University.

I am passionate about developing and using data science and ML algorithms to solve real-world problems at the intersection of precision medicine, digital health and medical big-data. My goal as a researcher is to bridge the gap between predictive modeling and clinical decision-making.

Publications and Posters

  • N. Soley, I. Rattsev, T. J. Speed, A. Xie, C.O. Taylor, Predicting Postoperative Chronic Opioid Use with Fair Machine Learning Models Integrating Diverse Data Sources: A Demonstration of Ethical Machine Learning in Healthcare, Journal of the American Medical Informatics Association (JAMIA) (under review)
  • N. Soley, S.K. Zhang, J. Zong, J. Greenstein, C.O. Taylor, T. Ruchti, P.A. Mendez-Tellez Early Dynamic Prediction of Organ System Deterioration in ICU Patients using Machine Learning, Biomedical Engineering Society (BMES) 2024 Annual Meeting, Oral Presentation
  • M. Nguyen, N. Soley, I. Rattsev, A.C. Jelin, C.O. Taylor, Strolr: An LLM-enabled Chatbot to Support Pregnant Womens Quick and Easy Information Seeking from Trustworthy Sources, American Medical Informatics Association, Annual Symposium, 2024
  • N. Soley, T. J. Speed, ,A. Xie, & C.O. Taylor, Predicting Postoperative Pain and Opioid Use with Machine Learning Applied to Longitudinal Electronic Health Record and Wearable Data, Applied Clinical Informatics Journal, 15(3), 569-582. Presented at ACM BCB 2023 [honorable mention]
  • N. Soley, A. Klein, C.O. Taylor, G. Ewachiw, H. Shah, and J. Bodurtha, Feasibility of the Genetic Information Assistant Chatbot to Provide Genetic Education and Study Genetic Test Adoption Among Pancreatic Cancer Patients at Johns Hopkins Hospital, AMIA 2023 Informatics Summit. Seattle, WA. March 13-16, 2023.
  • N. Soley, S. Song, N.F. Manov, and C.O. Taylor, Risk for Poor Post-Operative Quality of Life Among Wearable Use Subgroups in an All of Us Research Cohort, Pacific Symposium on Biocomputing (PSB) 2023.
  • D. Tong, N. Soley, M.A. Schwart, and T.C. Bidone, Characterization of full length alpha2bBeta3 integrin intermediates: from their atomistic dynamics to the assembly of adhesions, Biophysical Journal.

    • Education

    Doctor of Philosophy - Biomedical Engineering

    UoU
    May 2023 - Present

    Johns Hopkins University, Baltimore, Maryland, USA

    • Specialization in Biomedical Data Science. Advised by Dr. Casey Overby Taylor.
    • Thesis: Machine Learning applied to longitudinal and multimodal data to support patient centered outcomes:
    • Designing a pipeline to monitor hypertension risk during pregnancy, integrating multimodal embeddings, using clustering-based trajectory analysis, fusion models, and LLMs to generate interpretable and patient-specific recommendations using SHAP-based insights.

    Master of Science - Biomedical Engineering

    UoU
    Jan, 2021 - May 2022

    University of Utah, Salt lake City, Utah, USA

    • Master of Science in Biomedical Engineering with specialization in Computational systsems and data science [Project Track].

    Bachelor of Engineering, major: Biomedical Engineering

    SGSITS
    2016 - 2020

    Shri G.S. Institute of Technology & Science, Indore, India

    • Bachelor of Engineering with Biomedical Major form S.G.S.I.T.S. affiliated to R.P.G.V., Bhopal.

    Work Experience

    Research Assistant

    JHU
    May 2022-May 2023

    Institute of Computational Medicine, The Johns Hopkins University

    • Advisor: Dr. Casey Overby Taylor
    • Developed models to find association between preoperative measures from EHR, Fitbit device and postoperative ouctomes like quality of life, acute pain and chronic opioid use.
    • Built fair ML models (for sensitive features- race and gender) to predict chronic opioid use in post-operative patients with genomic, clinical, and behavioral risk factors from fitbit and EHR data.

    Graduate Research Assistant

    sci
    May, 2021-May 2022

    Scientific Computing and Imaging Institute, University of Utah

    • Advised by Dr. Tamara Bidone
    • The role of αIIbβ3 integrin conformation on the stability and composition of cell adhesions- Application and development of new computational approaches from molecular simulations
    • Performed the molecular dynamics(MD) simulations on alpha2bBeta3 integrin imtermediate from atomistic model to mesoscale modeling to understand the mechanism of platelete aggregation. Used PCA to understand the dynmaics of the protein. Embeded the results into brownian dynamics mesoscale model mimic the functioning of cell. The results could help in drug discovery for thrombotic/hemostatics disorders.

    Contact

    Hope you had fun reading and enjoyed small peek into my research work!! Feel free to reach out.