Lab

Current Members

Prospective Students

The training is geared toward students considering a PhD and research at the intersection of mathematics, life sciences, medicine, and AI. We especially welcome third-year undergraduates with an interest in research and a strong mathematical foundation to join the group for early research training.

Our two main research directions are new statistical methods for heterogeneous cellular data and new statistical learning methods for multi-modal biomedical data. If you enjoy asking “why” and understanding the principles behind a problem, we would be glad to hear from you.

Training begins with statistical foundations, reading research papers, and data analysis, then progresses to problem formulation, modeling, method design, theoretical analysis, algorithm implementation, and evaluation with real data.

For students planning to apply for a PhD in the group, I expect at least three months of research assistant experience with us before the formal application. You are welcome to contact me first; we can then discuss a project and arrange this period of collaboration together.

This experience gives both sides time to make an informed decision. You will have opportunities to:

  • Explore our research directions through a project with guidance from the lab.
  • Talk with current students and learn more about the group from the inside.

Learn more about our research directions, training, and how to get in touch.

Open Positions

Postdoctoral Fellows

  • The position focuses on high-impact research and scholarly publication. Fellows will conduct independent and collaborative research within the lab’s areas of interest.
  • Assist the principal investigator with mentoring students, preparing grant applications, managing research projects, and related responsibilities.
  • Eligible candidates will receive full support in applying for Tsinghua University’s Shuimu Tsinghua Scholar Program.
  • For outstanding candidates who qualify for the Shuimu Tsinghua Scholar Program but are not selected, the principal investigator will provide compensation matching the program’s salary level.

Full-Time Research Assistants

  • This is a research-focused position comparable to a Research Scientist role at a U.S. university or research institution, with scholarly research and publication as its primary responsibilities.
  • Depending on their interests and expertise, research assistants will independently or collaboratively develop research projects and contribute to problem formulation, modeling, computational experiments, and paper writing.
  • Assist the principal investigator with mentoring students, preparing grant applications, managing research projects, and related responsibilities.
  • Compensation will be determined based on the candidate’s research record, experience, and overall qualifications.

Research Interns / Visiting Students

  • Collaboration will be primarily remote, and applicants from all educational levels are welcome.
  • The principal investigator may provide a research topic, or students may propose a topic of interest and pursue it under the principal investigator’s guidance.
  • The lab will provide necessary computing resources, AI tools, and research mentoring. The primary objectives are learning, skill development, and knowledge growth.
  • Students who produce substantive research outputs will receive research compensation based on the nature of the outputs and their actual contributions.