About

Aidan Curtis is a driven and accomplished senior at Rice University studying Electrical Engineering and Computer Science. With a keen interest in software engineering, artificial intelligence, and computational neuroscience, Aidan has established himself as a highly skilled and motivated individual. His passion for building, learning, and applying mathematics and computation to interesting problems is evident in his impressive portfolio of projects. Currently working as a Back End Developer at IBM, Aidan has gained valuable experience in the tech industry. Prior to this, he worked as an Undergraduate Researcher at NeuroAILab at Stanford University, where he used model-free deep reinforcement learning to solve visually rich 2D tasks. He also conducted an architecture search over pre-trained convolutional network features for fine-tuning and adapted deep reinforcement learning methods for 3D control and navigation tasks with visual input and a continuous action space. Aidan has also served as a Research Assistant at UT Health Neuroimaging Electrophysiology Lab. Aidan's academic achievements are equally impressive. He is currently pursuing a Doctor of Philosophy - PhD in EECS at the Massachusetts Institute of Technology, which he is expected to complete in 2025. He also holds a Bachelor of Science - BS in Electrical Engineering and Computer Science from Rice University, which he completed in 2020. Aidan's academic journey began at Enloe High School, where he completed his secondary education in 2016. Aidan's technical skills are diverse and include expertise in Backend development, Reinforcement Learning, Research Scientist, and Search. With 2.87 years of relevant experience, Aidan has established himself as a valuable asset in the tech industry. He is a dedicated and hardworking individual who is constantly seeking new challenges and opportunities to expand his knowledge and skills.