Arish
Shahab

Studying Integrated Biomedical Engineering and Health Sciences at McMaster University. Working toward medicine, and building things along the way.

"Whoever saves one life, it is as if he had saved all of mankind."

— Quran 5:32

In the Press

 

Currently

  • A
    Amano ↗Startup

    Founder. Building the world's most accessible hearing aid. Hearing loss affects 1 in 5 globally — most will never afford what already exists. Working with Harvard Medical School and St. Joseph's Healthcare Hamilton.

  • H
    Harvard Medical School & MGHResearch

    Biomedical Engineer. Using ML and FEA to model how the musculoskeletal system responds to force, so orthopedic surgeons can make better decisions before entering the OR.

  • Al
    AlgoSurg (YC W18)Research

    Software Engineer. Automating the hours surgeons spend on pre-operative planning. Building AI-driven surgical simulation and decision-support systems.

  • U
    University Health NetworkResearch

    ML Researcher. Building models that predict when a rehabilitation patient is improving, plateauing, or quietly declining — before the clinical team notices.

  • N
    NeuriteStartup

    Co-Founder. Built the first ML tool for PSP detection and tau protein modeling. Nebius AI Discovery Award winner. Twice published.

  • M
    ManarApp

    Founder. Top-100 religion app on the App Store. Focus mode, layered guidance, and reward mechanics for people trying to build consistency in prayer.

Highlights

  • *1st Place Healthcare at HackPrinceton, the Ivy League's largest hackathon. Built Synovia in 36 hours.
  • *Nebius AI Discovery Award. JXTX Scholar.
  • *1st in Canada, Waterloo Financial Literacy Competition. 13th Worldwide, International Research Olympiad.
  • *DECA Top 20 Worldwide ICDC. Provincial Champion.
  • *Published across orthopaedics, neuroimaging, hearing health, and drug delivery.
  • *Founded AquaBoost — backed by buildspace / YC. Exit 2023.
  • *Founded StudyWise Academy. Grew to 50+ students across institutional partnerships.

I want to practice medicine, but I can't ignore what's possible with computation. The goal is to build tools that make anything less than precision unacceptable, from the inside.