Scholar
Alkis Gotovos
Google Scholar ID: UJ9-UuIAAAAJ
Max Planck Institute for Software Systems (MPI-SWS)
Citations & Impact
Citations
954
H-index
11
i10-index
12
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Research Experience
- I am a postdoctoral fellow at MIT CSAIL supervised by Prof. Stefanie Jegelka.
Education
- I received my PhD in the Learning & Adaptive Systems group at ETH Zurich under the supervision of Prof. Andreas Krause.
Background
- My research is focused around discrete optimization and probabilistic models for machine learning. I am interested in topics such as submodularity and its use in probabilistic modeling; sampling methods for approximate inference and scalable learning; and applications that make use of such models, for example, learning mutation interactions between cancer-related genes.
