Experience

University of Toronto Aerospace Team

• Canada
• Aviation and Aerospace Component Manufacturing
• 1 - 100 Employee

• Data Processing Member

  • Jun 2023 - Present

  The Field Imaging Nanosatellite for Crop residue Hyperspectral mapping (FINCH) is a 3U CubeSat mission designed to conduct a technological demonstration of crop residue mapping from the Low-Earth Orbit. FINCH is projected to launch in Q4 2024 aboard a SpaceX Falcon 9 rocket. The Field Imaging Nanosatellite for Crop residue Hyperspectral mapping (FINCH) is a 3U CubeSat mission designed to conduct a technological demonstration of crop residue mapping from the Low-Earth Orbit. FINCH is projected to launch in Q4 2024 aboard a SpaceX Falcon 9 rocket.



RUMMAN

• Professional Training and Coaching

• Associate

  • May 2023 - Aug 2023

  RUMMAN is a human-centric firm that uses robust neuroscience research to empower organizations and executives in the Middle East. RUMMAN is a human-centric firm that uses robust neuroscience research to empower organizations and executives in the Middle East.



NeurotechUofT

• Canada
• Biotechnology Research
• 1 - 100 Employee

• ML Researcher

  • Nov 2022 - Apr 2023



Nucleate Dojo

• Biotechnology Research
• 1 - 100 Employee

• Director of Community

  • Jul 2022 - Jan 2023

  Nucleate Dojo is a community and training ground for the next generation of innovators in the life sciences. We develop programs based on education, community, and capital.

• Program Director

  • Mar 2022 - Aug 2022



Pillar VC

• United States
• Venture Capital and Private Equity Principals
• 1 - 100 Employee

• Frequency Bio Fellow

  • Jul 2022 - Aug 2022



University of Toronto Engineering

• Canada
• Higher Education
• 1 - 100 Employee

• Research Assistant at the McGuigan Lab

  • Apr 2022 - Aug 2022

  Conducted research on tissue-engineered 3D models and image-design to map cancer tumour heterogeneity. 2D In-vitro or mice models tend to be homogenous and thus do not provide an accurate medium to identify potential drug candidates for cancer therapeutics. Engineered 3D models aim to solve this problem and accelerate the time it takes from getting a drug from bench to business. Conducted research on tissue-engineered 3D models and image-design to map cancer tumour heterogeneity. 2D In-vitro or mice models tend to be homogenous and thus do not provide an accurate medium to identify potential drug candidates for cancer therapeutics. Engineered 3D models aim to solve this problem and accelerate the time it takes from getting a drug from bench to business.



UofT AI

• Canada
• Higher Education
• 1 - 100 Employee

• LearnAI Student

  • Sep 2020 - Dec 2020