computational biology and machine learning
PhD position in Informatics - Computational Biology and Machine Learning
All employees are expected to contribute to excellence through high quality research and teaching. The working environment for this position will be at CBU, in the Systems Biology & Machine Learning group headed by Prof. Tom Michoel. The aim of the INTRePID project is to create intelligent systems for personalized and precise risk prediction and diagnosis of non-communicable diseases using multi-omics data, by developing, implementing and validating novel algorithms for structure learning and inference in large-scale, multi-organ causal Bayesian gene networks. The project will have privileged access to a unique resource of multi-omics data from four Nordic countries generated by the project partners for a proof-of-concept application in cardiovascular medicine. The person appointed on this position will develop and apply models and algorithms for causal inference, graph representation learning, and inference in large-scale Bayesian networks.
Next Big Future: Google's Antiaging company Calico will use Computational Biology and Machine Learning
Calico, a company focused on aging research and therapeutics, today announced that Daphne Koller, Ph.D., is joining the company as Chief Computing Officer. In this newly created position, Dr. Koller will lead the company's computational biology efforts. She will build a team focused on developing powerful computational and machine learning tools for analyzing biological and medical data sets. She and her team will work closely with the biological scientists at Calico to design experiments and construct data sets that could provide a deeper understanding into the science of longevity and support the development of new interventions to extend healthy lifespan. Calico will try to use machine learning to understand the complex biological processes involved in aging.