Here's who I am & what I do

About

I am a Ph.D. candidate in Biomedical Engineering at Johns Hopkins University. My research integrates multimodal longitudinal data including wearable sensors, electronic health records, medications, survey responses, and clinical notes to develop predictive and interpretable machine learning models for personalized medicine. Large language models are used to derive clinically meaningful insights from these heterogeneous data.

Recenet Publications and Posters

  • Soley N, Jelin A, Patel VM, Taylor CO, A Two-Phase Multimodal Deep Learning Framework for Predicting Hypertensive Disorders of Pregnancy Using Clinical and Conditional Synthetic Wearable Data, IEEE Conference 2027(under review).
  • Soley N, Jelin A, Patel VM, Taylor CO, Discovering wearable sensor-derived temporal digital phenotypes and their association with hypertensive disorders in pregnancy, npj Artificial Intelligence, Sensing Intelligence and Machine Learnin Collection (under review).
  • Soley N, Patel VM, Taylor CO, AttentiveGRUAE: An Attention-Based GRU Autoencoder for Temporal Clustering and Behavioral Characterization of Depression from Wearable Data, TS4H NeurIPS 2025, San Diego (December 6-7).
  • Soley N, Bentil M, Shah J, Rouhizadeh M and Taylor CO, Unveiling Social Determinants of Health Impact on Adverse Pregnancy Outcomes through Natural Language Processing , Nature Scientific Reports, SDOH Collection, 2025.
  • Soley N , Zhang S, Zong J, Greenstein J, Taylor CO, Ruchti T, and Mendez-Tellez PA, Early dynamic prediction of organ system deterioration in intensive care unit (ICU) patients using machine learning, Journal of Critical Care, 2025.
  • Nguyen M, Soley N, Rattsev I, Jelin A, and Taylor CO, Strolr: An LLM-enabled Chatbot to Support Pregnant Womens Quick and Easy Information Seeking from Trustworthy Sources, System Demonstration, American Medical Informatics Association, Annual Symposium, 2024.

    • Education

    Doctor of Philosophy, Biomedical Engineering

    JHU
    May 2023 – Present

    Johns Hopkins University, Baltimore, MD, USA

    • Specialization: Biomedical Data Science. Advisor: Dr. Casey Overby Taylor
    • Thesis: Understanding and Enhancing Patient-Centered Outcomes in Pregnancy through Multimodal ML and LLM-based Interpretability Tool.

    Master of Science, Biomedical Engineering

    University of Utah
    Jan 2021 – May 2022

    University of Utah, Salt Lake City, UT, USA

    • Specialization: Computational Systems and Biomedical Data Science. Advisor: Dr. Tamara Bidone
    • MS Thesis: Investigated Ξ±IIbΞ²3 integrin conformational states and their impact on platelet adhesion dynamics through multiscale molecular modeling and simulations.

    Bachelor of Engineering, Biomedical Engineering

    SGSITS
    Aug 2016 – May 2020

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

    Experience

    AI/ML- Health Sensing Intern

    apple
    May 2026 – Aug 2026

    Apple Inc.

    Machine Learning Research Intern

    oura
    May 2025 – Aug 2025

    Oura Rings Inc.

    Research Associate

    JHU
    May 2022 – May 2023

    Institute for Computational Medicine, Johns Hopkins University

    • Developed ML models for multimodal, longitudinal datasets (clinical, genomic, EHR, and wearable/Fitbit data) to support patient-centered outcomes in surgical recovery and chronic pain management.
    • Designed fair ML frameworks to predict chronic opioid use in post-operative patients, addressing bias and improving generalizability across diverse populations.

    Graduate Research Assistant

    SCI Institute
    May 2021 – May 2022

    Scientific Computing and Imaging Institute, University of Utah

    Awards and Recognitions

    • 2026: Student Spotlight Winner at Johns Hopkins School of Medicine Graduate Student Association for academic excellence and research contributions.
    • 2026: Press Release of the research done to help personalize pain treatment after surgery was featured on All of Us Research Highlights.
    • 2025: Johns Hopkins BME’s Distinguished Teaching Assistant award for Precision Care Medicine 2024-25 (EN.580.480/680) .
    • 2023: Paper Award (Honorable Mention), 14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics.
    • 2023: NSF Travel Grant Recipient, International Workshop on Computational Network Biology.
    • 2021: Gold Medalist, Department of Biomedical Engineering, SGSITS (Academic Year 2019–2020).

    Contact

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