Research Fellows
Zhipeng (Iris) Yang
Research Fellow
education
PhD, Department of Biological Sciences, Carnegie Mellon University
M.S., Department of Biomedical Engineering, Carnegie Mellon University
B.S., School of Life Sciences, Peking University
contact Info
zhipeng_yang@dfci.harvard.edu
How one-dimensional nucleotide sequences encode for the information that complex and highly regulated organisms such as ourselves need to develop and function has been one the most fascinating questions in biology for me. Having worked as a developer of genetically encoded biosensors, I believe the development, optimization and application of high-throughput approaches are crucial for solving the puzzle of genomes. I am particularly interested in understanding the impact that nucleotide sequence diversity and variability have on protein functions, especially in the context of human diseases, using both experimental and computational methods.
Research Fellow
education
PhD, Department of Biological Sciences, Carnegie Mellon University
M.S., Department of Biomedical Engineering, Carnegie Mellon University
B.S., School of Life Sciences, Peking University
contact Info
zhipeng_yang@dfci.harvard.edu
How one-dimensional nucleotide sequences encode for the information that complex and highly regulated organisms such as ourselves need to develop and function has been one the most fascinating questions in biology for me. Having worked as a developer of genetically encoded biosensors, I believe the development, optimization and application of high-throughput approaches are crucial for solving the puzzle of genomes. I am particularly interested in understanding the impact that nucleotide sequence diversity and variability have on protein functions, especially in the context of human diseases, using both experimental and computational methods.
Luke Lambourne
Research Fellow
education
PhD, University College London 2014
M.Phys., University of Warwick 2010
contact Info
luke_lambourne@dfci.harvard.edu
I’m a computational biologist, interested using the huge amount of information generated by high-throughput systematic protein-level experiments in order to answer biological questions. I build custom statistical models based on details of the experiment in order to disentangle the variety of different factors that underlie the data. Currently, I’m working on the human reference interactome project, where I’m modeling the variance of confidence and ease of detection of interactions within the dataset.
Research Fellow
education
PhD, University College London 2014
M.Phys., University of Warwick 2010
contact Info
luke_lambourne@dfci.harvard.edu
I’m a computational biologist, interested using the huge amount of information generated by high-throughput systematic protein-level experiments in order to answer biological questions. I build custom statistical models based on details of the experiment in order to disentangle the variety of different factors that underlie the data. Currently, I’m working on the human reference interactome project, where I’m modeling the variance of confidence and ease of detection of interactions within the dataset.