Armando Fortes is a PhD candidate and researcher specializing in controllable visual synthesis and diffusion models, currently at MMLab, Nanyang Technological University, with prior research stints at Tsinghua's TSAIL and a reinforcement-learning internship at Carnegie Mellon. He combines five years of industry and research experience—from an SDE role at AWS to hands-on work on controllable diffusion and LLM-RL projects—bridging production engineering and cutting-edge generative AI. As a teaching assistant he also translates complex visual understanding and programming topics for students, reflecting strong communication alongside technical depth. Based in Portugal with academic roots at Técnico Lisboa and Tsinghua, he brings a cross-cultural, systems-and-research mindset to problems in visual generation that emphasizes controllability and real-world applicability.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Science Computer Science and Engineering, Bachelor of Science Computer Science and Engineering at Instituto Superior Técnico
Master of Science Computer Science and Technology, Master of Science Computer Science and Technology at Tsinghua University
Doctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at Nanyang Technological University Singapore
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