Lab Openings
We are always looking for self-motivated undergraduate, Master students, PhD students, postdocs, and visiting scholars to join our team.
If you are an undergraduate or Master student excited about NLP/AI in healthcare and electronic health record data, please email Prof. Wang your CV and a brief description of research interests.
If you are visiting scholars, please email Prof. Wang your CV, a letter of research interests, and funding sources.
If you are interested in a postdoc position, please directly email Prof. Wang your CV and previously published papers.
We are recruiting PhD students from SCI PhD in Intelligent Systems Program and DBMI PhD in Biomedical Informatics. Admission is through each graduate program’s standard application process. Interested applicants are encouraged to contact Prof. Wang with a CV, a brief statement of research interests, and transcripts.
My philosophy for PhD training is to guide students progressively from close mentorship to research independence through three phases, as shown in the figure below. In Phase 1: Fully Supervised, I work closely with students throughout the research lifecycle, including identifying important questions, reviewing the literature, developing solutions, designing experiments, and writing their first papers. In Phase 2: Semi-Independent, students take increasing responsibility for literature review, solution development, experimental design, and manuscript preparation while continuing to receive regular feedback. In Phase 3: Fully Independent, students are expected to identify significant and feasible research questions, conduct rigorous studies, and write, submit, and revise papers with minimal supervision. The goal is to prepare each student to become a confident and independent researcher and scientist who can make meaningful contributions to the field. If this training philosophy aligns with your goals and you are motivated to grow through these phases, I encourage you to apply to one of the programs and consider joining our lab.
