ZB

Zhiliang Bai

Biological Engineering

Massachusetts Institute of Technology

Hands-onClear VisionFriendly PeersOn-time GradRespects Privacy
4.3/ 5.0
9 student reviews
👍5
👎0
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About Zhiliang Bai at Massachusetts Institute of Technology (MIT)

Zhiliang Bai is an incoming Assistant Professor in the Department of Biological Engineering at the Massachusetts Institute of Technology, with his professorship beginning in 2026. He leads the Bai Lab, which focuses on the spatial biology of cancer and aging by integrating spatial multi-omics technologies, RNA biology, digital pathology, and artificial intelligence. His research aims to decode how human tissues reorganize during disease progression, therapeutic response, and aging, particularly by transforming clinically archived pathology samples into spatially resolved molecular atlases. The lab develops microsystem engineering and biochemical innovations to enable high-resolution spatial profiling of human tissues, alongside AI-driven computational pipelines that integrate multi-omics data with histopathology and clinical records to uncover spatial regulators linked to patient outcomes. These insights are further explored using in vitro and in vivo models to enable mechanistic understanding, biomarker discovery, and therapeutic hypothesis generation. Zhiliang received his B.E. and Ph.D. from Tianjin University and conducted graduate and postdoctoral research at Yale University, where he developed microfluidic platforms, single-cell and spatial omics technologies, and investigated mechanisms of durable cancer immunotherapy.

Research Areas

spatial biologyspatial multi-omicscancer biologyaging biologyRNA biologydigital pathologyAI for biomedicineimmunotherapy

Rating Breakdown

Supervision Style4.3
Responsiveness3.8
Workload4.3
Funding Support4.3
Communication4.3

Reviews (4)

👍

A student recommended this supervisor and marked them as Hands-on

Anonymous quick feedback

9 months ago

👍

A student recommended this supervisor and marked them as Clear Vision

Anonymous quick feedback

5 months ago

A
Anonymous2/12/2026
4.0

Be prepared for intensity during final paper revisions. Normal periods are sustainable though. Talks openly about stress and actually asks how you're doing.

👍

A student recommended this supervisor and marked them as On-time Grad

Anonymous quick feedback

2 months ago

👍

A student recommended this supervisor and marked them as Respects Privacy

Anonymous quick feedback

7 months ago

A
Anonymous1/14/2026
4.0

Flexible schedule if you deliver results. Some students come in daily, others work from home mostly—they don't micromanage. Fair as long as progress is visible.

A
Anonymous12/19/2025
4.0

My contact was during the interview and early-stage discussions about incoming projects; this was a short-term interaction (~interview + 2 follow-up calls). The group demonstrated a clear focus on spatial multi-omics methods and translational applications, and technical expectations for experimental rigor were communicated during meetings. I can’t speak to long-term supervision style or day-to-day mentoring. From this brief exposure, the lab appears organized around technology development and clinical relevance.

👍

A student recommended this supervisor and marked them as Friendly Peers

Anonymous quick feedback

5 months ago

A
Anonymous9/12/2025
5.0

Thoughtful about student development and career paths, not just research output. Spends time on letters of recommendation and connections. Reasonable workload expectations.

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