Research Opportunities

I lead several research initiatives in machine learning in high-energy physics. Additionally, some group 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, and will simultaneously pursue his doctoral studies at Carnegie Mellon University, co-advised by Manfred Paulini.


Current research group and activities:

Sitong An                                       CERN fellow (co-advised with M. Paulini and L. Moneta)    Deep Learning Applications, Graph Networks for HGCAL

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

Ali Hariri                                        MS student at American University of Beirut                         DeepMuon Subgroup

Mugeon Kim                                 Doctoral student at Florida (D. Acosta)                                   DeepMuon Subgroup

Omar Zapata Mesa                     CERN Junior Fellow                                                                      Machine Learning and Software Development

Alexandra Sedlmayr                   Undergraduate student at University of Alabama                Machine learning

Nate Strum                                   Undergraduate student at University of Alabama                Machine learning



Past members of the research group:

Engin Eren (masters)                        PhD from University of Hamburg 2018                         DESY Fellow

Andrew Carnes (doctoral)                PhD from University of Florida 2018                             Data Science

Miles Wu (undergrad)                       PhD from University of Chicago 2017                           Data Science/Industry

Lucas Kang                                          Undergraduate Brown University                                  JHU grad student

Simon Pfreundshuh (masters)        PhD  student at Chalmers Tech                                      current

Sinan Kefeli (masters)                       Doctoral student at Caltech                                            current



Research opportunities

Student involvement in research is one of my research and education priorities. If you are looking for a PhD position in high-energy physics and machine learning, please get in touch with me about possible opportunities.

If you are an MS or undergraduate student 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 possible research projects.

My group will have a postdoctoral position opening soon.