AcaRevival Initiative

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

Read Manifesto →
SG

Sebastian Gallo

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Sebastian Gallo at Massachusetts Institute of Technology (MIT)

Sebastian Gallo holds an academic position at Massachusetts Institute of Technology. Their scholarly work centers on EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, and Anesthesia and Sedative Agents. With over 105 citations accumulated, their work continues to earn recognition across academic communities. Their H-index of 4 highlights a growing trajectory of research influence.

Research Areas

EEG and Brain-Computer InterfacesNeuroscience and Neural EngineeringAnesthesia and Sedative AgentsMuscle activation and electromyography studiesNeural dynamics and brain function

Academic Impact Matrix

Research output metrics for Sebastian Gallo aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations105

Emerging researcher

Publications9

Selective publication record

h-index4

Developing track record

i10-index3

Early-stage portfolio

Lab Environment

No lab data yet for Sebastian Gallo

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

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.