This candidate did not supply a manifesto.
Hello everyone, I am excited to announce my candidacy for the position of Co-Chair of our AI Society! As someone who is passionate about artificial intelligence and its amazing potential, I believe I can help lead our community to new heights. My primary goal as Co-Chair will be to foster an environment of collaboration and innovation. I envision organising regular workshops and hackathons that bring together stude ...
This candidate did not supply a manifesto.
As a postgraduate IEM (Innovation, Entrepreneurship & Management) student, I am eager to take on the role of co-chair of the AI Society. I bring a unique perspective, having co-founded and managed a startup that provided legal e-conferencing services to a wide range of U.S. clients, including court reporting agencies, large law firms, and the U.S. Securities and Exchange Commission. I plan to leverage this entrep ...
Hello, I’m Tianhao LI, and I’m running to be your AI Co-Chair. As a passionate advocate for AI, I am dedicated to advancing the role of artificial intelligence within our academic community and beyond. Here’s my vision for empowering AI students and enthusiasts at Imperial: Promote Cutting-Edge AI Research and Collaboration: I will advocate for increased funding and resources for AI research pr ...
Hello everyone! I’m Natalie, and I’m running for Co-Chair of the AI Society. With a deep interest in artificial intelligence and a strong belief in the power of collaboration, I’m excited to lead our society in fostering a vibrant community where innovation and learning thrive. AI is transforming the world, and I want our society to be at the front of this change. As Co-Chair, my goal is to create ...
Hey everyone! I’m Elson, and I’m excited to run for Co-Chair of the AI society! As an Electronic and Information Engineering student, my journey in AI has been fueled by a passion for innovation, leading me to develop a variety of personal projects—from a real-time ASL recognition system that bridges communication gaps to advanced foot-sizing detection models using machine learning. I can’t wa ...