My group currently pursues research into applications of machine learning in high-energy physics. Additionally, some of the members contribute to open source machine learning software development.
Research group news
Sitong An started in September 2018 as an INSIGHTS Marie-Curie CERN fellow to work on machine learning applications in high-energy physics together with me and Lorenzo Moneta, and will simultaneously pursue his doctoral studies at Carnegie Mellon University.
Current research group and activities:
Sitong An CERN junior fellow Deep learning applications physics
Michael Andrews Doctoral student at Carnegie Mellon (M. Paulini) End-to-end deep learning subgroup
Emanuele Usai Postdoctoral researcher at Brown (M. Narain) End-to-end deep learning subgroup
Bjorn Burkle Doctoral student at Brown University (U. Heinz) End-to-end deep learning subgroup
Anushree Rankawat Undergradutate at Ahmedabad University GANs/ML SW Dev
Past members of the research group:
Engin Eren (masters) PhD from University of Hamburg 2018 just graduated
Andrew Carnes (doctoral) PhD from University of Florida 2018 Data Science
Miles Wu (undergrad) PhD from University of Chicago 2017 Data Science/Industry
Simon Pfreundshuh (masters) PhD student at Chalmers Tech current
Sinan Kefeli (masters) Doctoral student at Caltech current
Student involvement in research is one of my research and education priorities. If you are student in physics, computer science or electrical computer engineering looking for research opportunities in machine learning and/or particle physics and are interested in my research activities please get it touch with me about potential projects.