Yicong Li

I’m a Ph.D. candidate in computer science with a secondary field in Mind, Brain, and Behavior at Harvard University advised by Prof. Hanspeter Pfister in Visual Computing Group (VCG), and affiliated with Dana-Farber Cancer Institute. I also work closely with Prof. Jeff W. Lichtman and Prof. Aravinthan D.T. Samuel at Harvard’s Center for Brain Science, and Prof. Bill Lotter at Harvard Medical School.

I’ve interned at Microsoft Research with Dr. Kristen Severson, at Simons Foundation with Prof. Dmitri “Mitya” B. Chklovskii and Prof. Jingpeng Wu, at MIT CSAIL with Prof. Nir Shavit, at Harvard Medical School with Prof. Faisal Mahmood, and at Huawei Technologies Co., Ltd. with Changzheng Zhang and Prof. Nanshan Zhong’s team.

Prior to Harvard, I obtained my master’s degree from Tsinghua University advised by Prof. Yang Li, and my bachelor’s degree from Sichuan University.

I aim to bridge the gap between natural and artificial intelligence and develop bleeding-edge AI techniques to address important real-world challenges in healthcare, medicine, and neuroscience. Specifically, my research interests are but not limited to:

• Biomedical Image Analysis,
• Data-Efficient Learning,
• Multi-Modal Learning,
• Computational Pathology/Neuroscience/Connectomics.

Collaborations and casual chats are welcomed!