GNOSIS: The Black Box for Human Systems
The Team

Built by people who have been on the frontline.

GNOSIS Ethical Intelligence is a small team in Newfoundland and Labrador. A clinician who lived the problem, and the engineers building the record that answers for it.

KH

K.M. Hogan

Founder and CEO, Master of Counselling Psychology

GNOSIS Ethical Intelligence was built by a clinician. Our founder began on the frontlines of inpatient psychiatry, sitting with people in their most acute moments, and later moved into Employee Assistance, where the same crises kept arriving from the workplace, now wrapped in HR processes that too often failed the people inside them. GNOSIS is what happens when a therapist refuses to accept that as the standard.

  • Inpatient psychiatry roots in crisis intervention and trauma-informed care
  • Employee Assistance experience across HR, conflict, and workplace harm
  • Evidence-based approach to behavioral risk and accountability

Engineering

MI

Madiha Inayat

Software Engineer

Madiha builds the surfaces people actually use. She works across the front end and the services behind it, turning the messy reality of a frontline workflow into something clear on screen. She studied computer engineering at Memorial University of Newfoundland and is finishing a Master of Technology Management there. Before GNOSIS she wrote software at the National Research Council of Canada and ran web, research, and machine learning work at Memorial.

  • Bachelor of Engineering in Computer Engineering, Memorial University of Newfoundland
  • Master of Technology Management in progress, Memorial University of Newfoundland
  • Software development at the National Research Council of Canada
  • JavaScript, TypeScript, React, Node.js, Python; AWS Certified Cloud Practitioner
SS

Sumaiya Binte Sadiq

Data and Quality Engineer

Sumaiya keeps the record honest. She works on data quality, testing, and the validation that makes sure what GNOSIS captures is accurate and holds up under review. She is completing a Master of Science in Data Science at Memorial University of Newfoundland, after a computer science and engineering degree at United International University. She came from data quality work at Siftmed and dataset curation for machine learning systems, where getting the details right was the whole job.

  • Master of Science in Data Science in progress, Memorial University of Newfoundland
  • Bachelor of Science in Computer Science and Engineering, United International University
  • Data quality and document accuracy at Siftmed
  • Testing, validation, and dataset curation for machine learning systems