LabScout maps every AI and Optimization research lab worldwide. Labs, researchers, application paths, alumni outcomes. Built for people who don't fit the traditional PhD mold.
Existing sites list programs. But your PhD experience lives inside a specific lab with a specific advisor. That info doesn't exist in one place.
Every guide assumes you're applying straight from undergrad with 3 professor recommendations. Career changers and industry applicants are invisible.
The best AI research happens at the intersection of CS, Math, EE, and Operations Research. Nobody maps the overlap between departments.
Every lab mapped with research focus, current projects, active faculty, funding status, and publication velocity. The atomic unit is the lab, not the department.
Find advisors by research area, collaboration network, and how they've supervised non-traditional students. See who publishes at which venues and who co-advises across departments.
Every program rated on how welcoming it is to career changers. GRE requirements, industry experience credit, part-time options, funding for self-sponsored students.
Where do graduates actually end up? Track placement into academia, industry labs (DeepMind, OpenAI, Anthropic), startups, and quantitative finance. Real data, not marketing copy.
Industry engineers with 3-10 years experience who want to transition into research but don't know which labs value their background
Quant professionals from finance who want to pursue optimization or ML research and need programs that bridge both worlds
International applicants looking beyond US rankings to find the right advisor-lab fit across Europe, Asia, and beyond
Master's graduates from adjacent fields (stats, physics, operations research) who want AI research but don't have a CS undergrad
LabScout is building the most comprehensive map of AI and Optimization research labs worldwide. Every lab. Every researcher. Every path in.