Isabel Chien

University of Cambridge

isabel.jpg

James Dyson Building

Trumpington St

Cambridge, UK CB2 1QA

Hi all! I am currently a second-year PhD student in the Machine Learning Group at the University of Cambridge, co-supervised by Professor Richard Turner and Dr. Aditya Nori (Microsoft Research). At Cambridge, I am a member of Christ’s College. I am interested in exploring how machine learning can be deployed ethically in healthcare practice. Currently, I focus on fairness in ML for healthcare as well as under-explored perspectives of fairness in ML, such as the characterization of fairness with respect to exploration (in online or bandit settings).

I am funded through the Microsoft Research PhD Scholarship Programme as part of the ESPRC Prosperity Partnership “Machine Learning for Tomorrow: Efficient, Flexible, Robust and Automated.”

I grew up in Bellevue, Washington, received my Bachelor’s and Master’s degrees in Computer Science at the Massachusetts Institute of Technology (MIT), and worked for two years as a Research Software Engineer at Microsoft Research UK, in the Health Intelligence group.

selected publications

  1. JAMA
    A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions
    Chien, Isabel, Enrique, Angel, Palacios, Jorge, Regan, Tim, Keegan, Dessie, Carter, David, Tschiatschek, Sebastian, Nori, Aditya, Thieme, Anja, Richards, Derek, and others,
    JAMA network open 2020
  2. PALL
    Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissions
    Chan, Alex, Chien, Isabel, Moseley, Edward, Salman, Saad, Kaminer Bourland, Sarah, Lamas, Daniela, Walling, Anne M, Tulsky, James A, and Lindvall, Charlotta
    Palliative medicine 2019
  3. ICML AIH
    Identification of Serious Illness Conversations in Unstructured Clinical Notes Using Deep Neural Networks
    Chien, Isabel, Shi, Alvin, Chan, Alex, and Lindvall, Charlotta
    In International Workshop on Artificial Intelligence in Health 2018
  4. JPM
    Needle in a haystack: natural language processing to identify serious illness
    Udelsman, Brooks, Chien, Isabel, Ouchi, Kei, Brizzi, Kate, Tulsky, James A, and Lindvall, Charlotta
    Journal of Palliative Medicine 2019