ABM 2021 MEETING
The virtual ABM 2021 meeting aims to bring together a balanced community of experts for a dynamic forum for exchange. The goal of the ABM 2021 meeting is to nurture and grow the community that was established in 2018. Key to the meeting is the development of an updated website, which will serve as a communication hub to identify connections between advanced scientific approaches (e.g., DNA, mass-spectrometry, and antibody-based) and open research questions, thereby fostering focused and mutually beneficial collaborations, as well as providing educational resources.
Chenshu Liu
Graduate Student
University of California, Los Angeles
Los Angeles, CA, USA
MEMBER INFORMATION
Chenshu Liu is currently a master’s student in Bioengineering at UCLA. He is invested in seeking cross-disciplinary integration of AI techniques. His current research focuses on the development of deep learning techniques for gesture classification using EMG signals in wearable human-machine-interface, computer vision algorithms for CT image super-resolution, and computer-aided diagnostics using medical imaging. In the meantime, he is attempting to construct a knowledgebase for conservation of materials and culture to assist systematic conservation-related practices.
AI-assisted classification of microorganism strains on paper-based cultural relics
Co-authored with Chongwen Liu and Allison Wall.