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Hello, wellcome to my website. I'm Fan Hong (CV). Currently, I'm a postdoctoral fellow at Wyss Institute/Harvard University and the Department of System Biology at Harvard Medical School in the molecular system lab with Dr. Peng Yin. I was a graduate student at the Biodesign Institute at Arizona State University, and fortunate to work in the Yan Lab, Green Lab and Sulc Lab with Dr Hao Yan, Dr. Alexander Green, and Dr. Petr Sulc. My research is in a highly interdisciplinary area, but focusing on the molecular folding and design/programming across different scales.
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My long-term goal is to decode and manipulate complex biological systems with designed biomolecular tools. Biological systems are composed of billions of molecules (e.g., DNA, RNA, proteins) to encode different layers of information. The molecular system in the complex biological environment is the cornerstone to understanding life and developing cutting-edge technologies to advance human health.
I'll develop the new principles for biomolecular design/programming and implement the developed biomolecular tools to interact and visualize biological systems (i.e., the area of synthetic biology and spatial biology), more specifically in three directions: (1) Understanding the biomolecular folding with experimental and computational approaches from sequence to structure and function, and vice versa (e.g., neural networks and molecular dynamics) (NAR 2020); (2) Programming cell fates with computationally de-novo designed biomolecular machines to sense cellular cues and regulate gene expression via RNA's dynamic folding (Cell 2020) and collective assembly (JACS 2018, Angewandte Chemie 2017) in vivo; (3) Decoding cell/tissue function and disease mechanism at system level with massive molecular information (e.g., genomics, transcriptomics, and proteomics) in situ resolved by DNA advanced molecular imaging tools.
I believe integrating molecular programmability with biology will lead to lots of transformative research in the near future in many sub-areas.
I'll develop the new principles for biomolecular design/programming and implement the developed biomolecular tools to interact and visualize biological systems (i.e., the area of synthetic biology and spatial biology), more specifically in three directions: (1) Understanding the biomolecular folding with experimental and computational approaches from sequence to structure and function, and vice versa (e.g., neural networks and molecular dynamics) (NAR 2020); (2) Programming cell fates with computationally de-novo designed biomolecular machines to sense cellular cues and regulate gene expression via RNA's dynamic folding (Cell 2020) and collective assembly (JACS 2018, Angewandte Chemie 2017) in vivo; (3) Decoding cell/tissue function and disease mechanism at system level with massive molecular information (e.g., genomics, transcriptomics, and proteomics) in situ resolved by DNA advanced molecular imaging tools.
I believe integrating molecular programmability with biology will lead to lots of transformative research in the near future in many sub-areas.
