George Dasoulas
Scholar

George Dasoulas

Google Scholar ID: WPFAXNAAAAAJ
Postdoctoral Researcher, Harvard University
Machine LearningGeometric Deep LearningMultimodal LearningGenerative Models
Citations & Impact
All-time
Citations
760
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Recipient of the 2022 Wojcicki and Troper Fellowship from the Harvard Data Science Initiative, supporting his research in learning graph representations for biomedical applications.
Research Experience
  • Postdoctoral Researcher at Harvard University, working with Zitnik Lab, Department of Biomedical Informatics, Harvard University. As a doctoral researcher at Noah’s Ark Lab, Huawei Technologies France, he worked on projects related to molecular structure modeling.
Education
  • Ph.D. in Computer Science from the DaSciM group of LIX, École polytechnique, Paris, France; Advisors: Prof. Michalis Vazirgiannis, Dr. Aladin Virmaux, Dr. Kevin Scaman. Bachelor's degree in Electrical and Computer Engineering from National Technical University of Athens (NTUA); Thesis: Deep learning for time series forecasting for predictive route optimization, focusing on real-time fuel-price prediction and route planning of cargo vehicles.
Background
  • Research Interests: Graph Machine Learning, Machine Learning for Structured Data, with a special focus on graph representation learning for biomedical applications. Professional Field: Computer Science.
Miscellany
  • Location: Boston, MA, USA. Personal website powered by Jekyll & AcademicPages, a fork of Minimal Mistakes.