Harvard University · CS & Economics
Life is not fair but I fight to make it fair.
I'm a Harvard student pursuing a double A.B. in Computer Science and Economics, passionate about ethical AI — especially AI safety and governance.
With experience as a software developer and venture fellow, I bridge the gap between building AI systems and understanding their market and societal impact. I've explored AI's implications in healthcare and clean energy — areas where I believe transformative growth is imminent.
Location
Cambridge, MA
University
Harvard College
isabellaandrade@college.harvard.edu
Focus
AI Safety · Clean Energy · VC
Jan 2026 – Present
June 2024 – Jan 2026
May – Aug 2025
Milemark Capital
Sep 2024 – Jan 2025
Goldman Sachs Emerging Leaders Program
Redesigned the UI/UX of the Passio Go transit app used on Harvard's campus, improving usability and visual clarity for students navigating campus shuttles.
View ProjectHarvard Undergraduate Clean Energy Group
Launched HUCEG's first VC education program — designed and led a semester-long curriculum and produced clean-energy market research briefs for VC partners.
Harvard Computer Society Tech for Social Good
Built an upgraded fund simulator for Matanataki Strategy tracking 15-year financial and environmental outcomes. Researched ethical implications of AI in hospitals and drafted policy proposals for Fight for the Future.
Society of Hispanic Professional Engineers (SHPE)
Planned and executed outreach and service events with campus and community partners; managed logistics to support engagement with underrepresented students in STEM.
Harvard AI Safety Team
Synthesized research on interpretability, RLHF, goal misgeneralization, and eliciting latent knowledge; shared takeaways with a 5-member cohort over 8 weeks.
Harvard College
2023 – 2027 · Cambridge, MA
Harvard College
2023 – 2027 · Cambridge, MA
Quince Orchard High School
2019 – 2023 · North Potomac, MD
CS 1050: Privacy and Surveillance
Argues that voice-cloning deepfakes pose a fundamental threat to democratic communication that existing legal frameworks and reactive policy measures cannot adequately address. Examines the growing tension between AI and privacy — moving beyond individual personhood to focus on AI's broader impact on democratic systems.
Economics 1343: The Economics of Development and Global Health
Examines how AI diagnostic tools validated in high-income settings fail catastrophically when deployed in low-income countries. Through two cases — CAD4TB (TB detection in sub-Saharan Africa) and First-Derm (dermatology AI in Uganda, with a 52.9 percentage point accuracy collapse) — the paper argues that absent rigorous local validation, algorithmic bias becomes a structural health equity crisis.