Ethan Curtis

Founded an AI-driven education company that has successfully prepared over 100 students across North America for prestigious mathematics competitions, including AMC, AIME, USAMO, and USAJMO. Key Achievements: • Student Impact: Successfully prepared 100+ students across North America for top-tier math competitions • Revenue Growth: Generated $75,000+ total revenue with MRR of $5,000-$10,000 • Recognition: Featured on the front cover of BCBusiness, Oak Bay News, and CheqNews Platform Development: • Teaching Experience: Leveraged 150+ hours of direct instruction and extensive independent training background • Technology Integration: Built proprietary platform with automated scheduling, payment processing, and communication tools AI Innovation: Integrated AI-driven curriculum development for personalized learning experiences • Scalability: Designed an automated ecosystem for rapid expansion and enhanced student outcomes Team & Partnerships: • Expert Faculty: Assembled team of 10 coaches affiliated with prestigious universities (MIT, UC Berkeley, CMU) • Geographic Reach: Established North America-wide student base and coaching network

Designed and co-developed CommonGap, a platform connecting ambitious high school graduates with startup jobs for paid gap year experiences. The program partners with Y Combinator-backed startups offering salaries of $75,000 or more annually, providing an alternative path for students before or during college. The platform was featured on Business Insider and is affiliated with Y Combinator.

Paid full-stack software engineering position at Ultra (YC24). Co-designed and developed the current platform: https://useultra.ai

At the UBC Laboratory of Targeted Drug Delivery and Nanomedicine, I have contributed over 300 volunteer hours conducting advanced microscopy analysis for groundbreaking mRNA delivery research. My primary responsibilities include: • Live-cell imaging analysis to track intracellular particle dynamics and endosomal interactions over extended time periods (45+ minutes) • Quantitative analysis of nanoparticle trafficking patterns, including measurement of particle velocities, trajectory mapping, and colocalization studies • Specialized analysis of "kiss-and-run" endosomal escape mechanisms and lysosomal disruption events • Data processing and quantification using Matlab, ImageJ, and TrackMate software to analyze particle movements, lysosomal swelling patterns, and membrane destabilization dynamics I am actively contributing to research that will help develop next-generation gene delivery systems with applications in genome editing and therapeutic mRNA delivery powered by ML.

OscarAI is an AI waste management company Phase 1: Prototyping and Development: • 2nd Place on Vancouver Island Regional Science Fair (~$500) • BC Game Developers Innovation Award • Winner of British Columbia Ingenious+ Award (~$1000) • Participant in the National Canada Wide Science Fair Phase 2: Business and Impact Maximization • 10 Product Engineering Interns • Shipping our products across the world

Hypothesis-Driven Research at the Intersection of Artificial Intelligence and Drug Discovery Innovation & Impact: • Novel Approach: Developed computational method integrating Drug Target Affinity Predictors (DTAPs) with Large Language Models • Breakthrough Results: Significantly improved prediction accuracy for drug-target interactions • Cost-Effective Solution: Created more efficient pathway for identifying new therapeutic applications of existing medications • Industry Impact: Accelerated traditionally lengthy and expensive drug development process through innovative computational methods Technical Expertise: • Specialized Focus: Analyzed psychotropic compounds and sigma-1 receptor interactions • AI Integration: Successfully bridged gap between bioinformatics, AI, and pharmacology • Drug Repurposing: Advanced strategies for revolutionizing how existing drugs find new therapeutic uses • Computational Biology: Applied cutting-edge machine learning techniques to pharmaceutical research Research Publication: • Published Work: "Validating DTAPs with Large Language Models: A Novel Approach to Drug Repurposing" • Academic Recognition: Journal of Emerging Investigators (March 2025) • DOI: https://doi.org/10.59720/24-103 • Research Validation: Peer-reviewed contribution to the AI-driven drug discovery field • Future Focus: Using my experience to impact ongoing AI-driven drug research at the University of British Columbia

OscarAI, the AI trash can, placed 2nd overall in the Vancouver Island region and qualified for the Canadian Wide Science Fair (CWSF) in Fredericton, New Brunswick.

30 hours of teaching and tutoring kids from ages 4-13 and marking both math and reading homework at a local Kumon center in Duncan, BC throughout the summer of 2023

Enjoying my final year at SMUS :) 3x Head of Math Club 3x SMUS Tennis Team Member 3x Honoroll Selected for RPI Scholarship by Science and Math Department

The Engineering Mathematics and Computer Science (EMACS) 2025 University of Waterloo Program selects 35 grade 11 students each year across Canada based on their performance in the Fermat and/or CSMC Math Competitions. The program features lectures from leading researchers and professors from the University of Waterloo.