LW

Larry Wasserman

Want to join this group? Ask Insiders

Statistics

Carnegie Mellon University

No ratings yetBe the first to rate

Loading...

About Larry Wasserman at Carnegie Mellon University (CMU)

Larry Wasserman is a distinguished statistician at Carnegie Mellon University, specializing in Bayesian methods, statistical inference, and topological data analysis.

Research Areas

Bayesian methodsmixture modelsstatistical inferencetopological data analysisgeometric data analysishypothesis testingsimulation-based inference

Stop Acting Like a Student.

Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.

sponsored · disclosure

#1 PhD Survival GuideAcademic Discount Available

The Hidden Rules of Grad School — What Your Advisor Won't Tell You

Covers the unwritten power dynamics, funding negotiation, and publication strategy that separate those who finish from those who don't.

89% of successful applicants at Carnegie Mellon University read this before their first lab meeting.

View Peer Reviews on Amazon →

Lab Standard ConfigAcademic Discount Available

Your Wrist Will Thank You After Year Two

Most PhD injuries are repetitive strain, not dramatic. Researchers who switched reported measurable improvement during crunch seasons — manuscript deadlines, grant cycles, defense prep.

92% of CS & Biology researchers at Carnegie Mellon University use an ergonomic peripheral by year 3.

Access Toolkit Specs →

Curated by the RateMySupervisor community for research productivity. · As an Amazon Associate we earn from qualifying purchases.

Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.

Data signature: rms-e25296e1-carnegie-mellon-university · Compiled April 2026