 I'm Francesca Pazquez, I'm the Director of the Cancer Dependency Map in the cancer program at the Brody Institute. Cancer Demap is an effort to identify systematically all the cancer vulnerabilities so that we can use this information to identify new therapeutic strategies for cancer patients. We create large scale data sets and we make this data available for the scientific community so the data can be utilized to identify new therapeutic opportunities. I'm Director of the Cancer Dependency Map. I work with the very talented team of project managers, experimental scientists, computational scientists but together we build this large scale resource that we name Cancer Dependency Map which is a preclinical resource to help accelerate physician cancer medicine. Some of the main challenges is that this is a very large scale project so it requires a lot of resources it requires to do work in a very systematic way. We have to build computational tools, we have to build software tools we have many many components so we need project management, we need software engineers we need computational biologists so it's a really truly multidisciplinary effort it requires putting together a team with different expertise to help with different aspects of the project. I think working with a multidisciplinary team is fascinating I think it's critical for projects like this where they have all these multiple components yet each team has a different area of expertise and they have their own language but I think we manage everybody to work together and learn from each other in my case my background is in experimental science, I'm a cancer researcher my background is in cancer biology but I feel now I can speak with the computational biologists with the software engineers and kind of we can understand each other it's a huge learning opportunity for everyone involved. International collaboration is key, again the data, we make the data available but everyone around the world is using the data in very creative ways I'm always surprised of how many use cases people find for them in very creative ways, different ways and I think that's key these are very large scale data sets and they can be exploited in so many different ways that it would not be possible if we were just doing it ourselves I think having this great collaboration is critical in addition other people are also generating data the space is huge, other groups are generating data that then we can bring together for example to our portal and enrich even further this resource so I'm excited for everyone to either use the data or contribute to the data whether our models, data sets, computational methods, software tools etc we have a lot of work to do and I'm excited to discuss some of this here in this setting in the next two days there's a lot of different aspects of the project that could be expanded from developing more models, screening more models using different types of perturbation, many different aspects of the project that can be expanded and we are looking forward to continue to develop them and make it even more powerful in the future