I will join Carnegie Mellon University in Fall 2025. I am interested and have experience in deep learning and machine learning.

 

I have rich experience of coaching students for AI Olympiads, both at the national and international levels, such as USA-NA-AIO and IOAI. I am also actively writing problems for AI Olympiads.

 

Outside of teaching and studying, I also play competitive badminton and basketball. I am looking forward to teaching you guys at Beaver-Edge AI.

I am currently at Harvard, where I develop AI methods for molecular and drug discovery. Prior to this, I completed his undergraduate studies at the University of Toronto, where I conducted research on AI-driven self-driving labs and material discovery. During this time, he was also a machine learning researcher at the Vector Institute.

 

I am currently a member of the USAAIO scientific committee. My responsibilities include providing USAAIO academic guidance, training USAAIO campers, and writing problems for AI Olympiads.

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Beyond academics and research, I enjoy watching and playing soccer, composing music, and reading. In my free time, I also loves playing the piano, hanging out with friends, and binge-watching TV shows.

I am a Gold Medalist at the International Olympiad for Artificial Intelligence (IOAI) 2024 and a passionate advocate for innovative AI education. I’ve been accepted to pursue Computer Science at the University of Oxford, after graduating from NUS High School of Math and Science.

 

I love computer science, mathematics, and physics. My academic journey is complemented by research contributions presented at venues like ICLR (spotlight paper) and NeurIPS, as well as hands-on projects—from developing physics-informed forecasting systems at Singapore’s National Water Agency to working on medical AI projects presented at ISEF.

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In addition to my research and technical work, I have been actively involved in guiding fellow students and emerging talents in the field, leveraging my experience as an AI Olympiad coach for Singapore and the U.S. Being on the USAAIO scientific committee, I am helping USAAIO write AI Olympiad problems and train USAAIO campers.

 

I’m excited to share my expertise and insights through this course, and I look forward to empowering you to excel in artificial intelligence.

I am a researcher at Biomedical Cybernetics Laboratory, Harvard Medical School, where I apply AI in the field of computational biology.  I am fascinated by the intersection of malaria epidemiology and interpretable reinforcement learning.

I have qualified for the USA Junior Mathematical Olympiad (USAJMO). In addition, I have published research at peer-reviewed IEEE conferences and mathematical journals.

Outside of academics and research, I enjoy playing violin and volleyball. I'm excited to share my expertise with you all through Beaver-Edge AI.

I am a student at Stanford University pursuing Computer Science and Math. I am interested in the intersection of AI and math, as well as its interdisciplinary real-world applications.

 

I am particularly interested in how math is used “under the hood” in AI algorithms. In the past, I have worked on de-biasing word embeddings for physical appearance, cell tower clustering using parallel tempering, and modeling Intelligent Transportation Systems, and I have published her research at peer-reviewed IEEE conferences.

 

I have interned at Ello, an EdTech company that generates children's stories using AI and has previously worked as a research intern at the Stanford Thrun Lab.

I am headed to Cornell in the Fall to study biomedical engineering and computer science. I am fascinated by the intersection between deep learning and medicine and I am excited to study it in college.

 

I placed Gold at USAAIO in 2025, and I am involved in science research in medical image analysis and drug discovery.

 

I love to bike and run in my free time. I am excited to be working with you all through Beaver-Edge AI.