Summer 2024, Bar Harbor, Acadia.

           

RESEARCH AREAS:
AFFILIATIONS:

Hi, I'm a second-year PhD student in the Epidemiology department at the Harvard T.H. Chan School of Public Health. I'm on the neuropsychiatric track and my research interest is broadly in healthcare AI and computational methods. I'm trained in natural language processing, biomedical informatics, epidemiology, and biostatistics. My current research efforts are in health AI regulation and digital psychiatry.

I'm primarily advised by my committee members: Prof. Lori Chibnik, Prof. John Torous, and Prof. Marzyeh Ghassemi. I was previously advised by Prof. Li Zhou, and Prof. David Bates during (and before) my master's at Harvard Medical School. Over the years, I have also had the privilege of being advised by and collaborating with many other distinguished professors (detailed in CV).

I'm always open to collaborations and supervision if you have some basic research experience or ideas. Drop me an email :)

Academic Timeline

Conference Talks (presenting)

• [3/2024] One Model Fits All? High-performing Multi-task Model of Urinary Tract Dilation (UTD) Classification Using NLP for Neonatal Ultrasound Reports. AMIA Informatics summit, Boston, MA
• [3/2024] Wise Instance Selection Algorithms Help Reduce Annotation Work in Multi-Task Multi-Class Urinary Tract Dilation Prediction. AMIA Informatics summit, Boston, MA
• [3/2024] Identifying Psychosis Episodes in Admission Notes: A Comparative Study of Rule-based Methods, Machine Learning Algorithms, and Pre-Trained Language Models. AMIA Informatics summit, Boston, MA
• [12/2023] Benchmarking Large Language Models on CMExam--A Comprehensive Chinese Medical Exam Dataset. NeurIPS, New Orleans, LA
• [11/2023] Streamlining Social Media Information Retrieval for Public Health Research with Deep Learning. AMIA Annual Symposium, New Orleans, LA
• [06/2023] Streamlining Social Media Information Retrieval for Public Health Research with Deep Learning. The 11th IEEE International Conference on Healthcare Informatics, Huston, TX.
• [06/2023] A Deep Learning-driven Approach for Transgender and Gender Diverse Patient Identification in EHRs. The 11th IEEE International Conference on Healthcare Informatics, Huston, TX.
• [04/2023] Contemporary treatment and outcomes of myasthenia gravis in the United States. The 75th American academy of neurology annual meeting, Boston, MA.
• [11/2022] Identification of transgender and gender diverse individuals in electronic health records. AMIA Annual Symposium, Washington, D.C.
• [11/2022] Using Twitter to Understand Public Perceptions of COVID-19 Drugs. AMIA Annual Symposium, Washington, D.C.
• [12/2021] Quantifying the bilingual (dis) advantage in vocabulary acquisition. The Asia-Pacific Babylab Constellation Conference , Hongkong.

Awards

• Best poster, the 11th IEEE International Conference on Healthcare Informatics, 2023
• Spotlight long paper, the 36th Conference on Neural Information Processing Systems (NeurIPS), 2022
• Distinguished poster, the AMIA Annual Symposium, 2022
• Outstanding student researcher, the Sigma Xi honor society, 2021
• Student scholarship, the Grace Hopper Celebration of Women in Computing, 2020
• The Dean's List, Smith College, 2017 - 2020

Review Service

• Npj Ditial Medicine
• The Journal of American Medical Informatics Association (JAMIA)
• The Journal of Medical Internet Research (JMIR)
• JMIR Public Health and Surveillance
• JMIR Mental Health (JMH)
• JMIR Artifical Intelligence (JAI)
• The International Journal of Medical Informatics (IJMI)
• The Machine Learning for Health (ML4H) Symposium, 2023
• The Conference on Neural Information Processing Systems (NeurIPS), 2023
• The American Medical Informatics Association (AMIA) Annual Symposium, 2023
• The American Medical Informatics Association (AMIA) Informatics Summit, 2023
• The 29th International Conference on Computational Linguistics (COLING), 2022
• The American Medical Informatics Association (AMIA) Annual Symposium, 2022

Teaching

• [Spring 2025] EPI 288: Intro to ML and Risk Prediction, Harvard School of Public Health
• [Fall 2024] PHS 2000A: Quant. Res. Methods Pop. Health Sci., Harvard School of Public Health
• [Spring 2023] BMI 707/EPI-290: Deep Learning for Biomedical Data, Harvard Medical School
• [Summer 2021] S-043/Stat-151: Multilevel and Longitudinal Models, Harvard School of Education
• [Summer 2020] Data Science in Action: Machine Learning for Self-Driving Cars, Harvard T.H. Chan School of Public Health
• [Spring 2020] PHY 215: Light, Relativity, and Quantum Physics, Smith College

Other Service

• Co-chair: Department of Seminar, the Harvard Chinese Students and Scholars Association, 2021-2022
• Organizer and Moderator: Forum of Society and Culture, Harvard China Alumni Conference 2022
• Ph.D. Debate moderator: AI Time, Tsinghua University, China, 11/2020 - 05/2021
• Fellow: Department of Seminar, the Harvard Chinese Students and Scholars Association, 2020-2021
• Teacher, The MIT Educational Studies Program, Fall 2020
• Academic coach fellow, Project Coach, Smith College, Spring 2020
• Volunteer: APS Conferences for Undergraduate Women in Physics, UMass Amherst, 01/2019

Miscellaneous