AcaRevival Initiative

Experienced academic misconduct or bullying? We're building a real weapon against it.

Read Manifesto →
LM

Liam G. McCoy

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Liam G. McCoy at Massachusetts Institute of Technology (MIT)

Liam G. McCoy holds an academic position at Massachusetts Institute of Technology. Their scholarly work centers on Artificial Intelligence in Healthcare and Education, Machine Learning in Healthcare, and Topic Modeling. With over 1,181 citations to their name, their contributions have had a measurable and lasting impact on the field. An H-index of 15 underscores the consistent quality and influence of their published research.

Research Areas

Artificial Intelligence in Healthcare and EducationMachine Learning in HealthcareTopic ModelingRetinal Development and DisordersNeuroscience and Neuropharmacology Research

Academic Impact Matrix

Research output metrics for Liam G. McCoy aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations2,362

Emerging researcher

Publications126

Selective publication record

h-index15

Developing track record

i10-index16

Early-stage portfolio

Lab Environment

No lab data yet for Liam G. McCoy

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Top Publications

Reviews (0)

No reviews yet for this supervisor.

Be the first to share your experience!

Is your PI driving you crazy?

Featured Article

The Sunday Night Dread: Surviving a Micromanaging PhD Supervisor

Real advice from PhD students on recognizing and navigating difficult supervisor relationships

Your experience matters. After reading the guide, share your review to help other PhD students.

Frequently Asked Questions

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.