Aline Orrantia — HTGAA Spring 2026
About me:
Hi! I’m Aline Orrantia. I recently graduated from Imperial College London’s I-X MSc in AI Applications and Innovation, where my thesis explored using Deep Q-Network (DQN) agents to mitigate data bias in federated learning systems, with a focus on fairness-aware decision-making in healthcare. I’m currently involved with Imperial’s AI Superconnector community, working at the intersection of founders, investors, and emerging AI ventures, and I’m part of investor-facing communities focused on translating technical innovation into real-world impact. I’m taking How to Grow (Almost) Anything because I want to bridge AI with hands-on biological engineering and build a deeper understanding of living systems, biomaterials, and biofabrication. I’m especially interested in women’s health—particularly endometriosis, aromatase and estrogen-driven conditions, IVF, and ovarian longevity—and I’m always open to connecting with others working in these areas, whether for research conversations, collaborations, or venture building ideas.
Contact info - alineorrantia@gmail.com & https://www.linkedin.com/in/aline-orrantia-481174149/
Homework
HW 1 link: https://www.notion.so/HW1-3030c5638a868024bca6f27dd4fd7fb0?source=copy_link