The Data Incubator is an intensive, six-week bootcamp that prepares postdocs and PhDs in STEM and social science fields for industry careers as data scientists. It identifies fellows who already have the 90% difficult-to-learn skills and equips them with the last 10%: the tools and technology stack to make them self-sufficient, strong, productive contributors. The program is tuition-free for fellows and supported by sponsorships from dozens of employers across multiple industires.
An elevator pitch, elevator speech, or elevator statement is a short summary used to quickly and simply define a person, profession, product, service, organization or event and its value proposition (according to Wikipedia). Elevator pitches are important for us as researchers to quickly convey our idea to friends or family, colleagues, potential collaborators, future employers, and the like. With ISCA (and other conferences) coming up soon, now is a great time to polish your first impression on others.
Much research in Bayesian modeling has been done to elicit a prior distribution that incorporates domain knowledge. We present a novel and more direct approach by imposing First-Order Logic (FOL) rules on the posterior distribution. Our approach unifies FOL and Bayesian modeling under the regularized Bayesian framework. In addition, our approach automatically estimates the uncertainty of FOL rules when they are produced by humans, so that reliable rules are incorporated while unreliable ones are ignored.