Contributed by Darwin Bandoy DVM
I presented a poster at BAMPS (Bay Area Microbial Pathogenesis Symposium) with my work on using machine learning bacterial genome-wide association study. First of all, it was radically different as most posters focus on defining a mechanism for a single gene, while my work is about extracting insights from population-scale level. While the two methods are complementary, few people are integrating population scale genomics to derive mechanistic insights. What was interesting is that few people cared about abortion and Campylobacter- I was visited because of the machine learning. And hence this represents a strategy in presenting one’s work, to use methods that can be broadly applied and use a specific example. Hence think broadly and work specifically is a good way to be relevant to more people.
