CV
Research Interests
Geometric Deep Learning, Foundation Models, Multimodal Learning, Knowledge Graphs, Graph Machine Learning, Generative Models, Evaluation and Benchmarking, AI for Science, AI for Biology.
Professional Experience
March 2025 - Present
Merck & Co, Cambridge, Massachusetts, USA
Senior Machine Learning Research Scientist @ Merck Research Laboratories
- Single-cell Foundation Models for target discovery.
- Geometric deep learning for gene regulatory network inference.
- Multimodal learning for spatial transcriptomics and H&E imaging.
July 2022 - February 2025
Harvard University, Boston, Massachusetts, USA
Harvard Data Science Initiative Postdoctoral Research Fellow
- Appointment: Blavatnik Institute, Department of Biomedical Informatics, Harvard Medical School.
- Hosting Labs: 1) Marinka Zitnik’s Lab @ DBMI, 2) Francesca Dominici’s Lab @ HDSI.
- Research focus: a) Geometric deep learning for 3D biomolecular structure representation and design. b) Multimodal Foundation Models for therapeutics. c) Equivariant message passing for spatiotemporal modeling.
October 2018 - April 2022
Huawei Technologies, Paris, France
Doctoral research scientist in graph machine learning
- Laboratory: Noah’s Ark Lab, AI department of Huawei R&D.
- Research focus: Representation learning algorithms for static and dynamic networks, specialized in telecommunications.
June 2017 - January 2018
TWT GmbH Science & Innovation, Stuttgart, Germany
MSc Thesis research in machine learning for prediction-based optimization
- ML-powered recommender system for short-term prediction and decision-making on optimal refueling.
October 2013 - February 2016
Software Engineering Laboratory at National Technical University of Athens, Greece
Laboratory Assistant for computer programming courses
- Tasks: Teaching assistant, and laboratory supervisor.
Education
April 2019 - March 2022
École Polytechnique, Palaiseau, Paris, France
Ph.D. student in computer science
- Laboratory: Data Science and Mining Team, LIX, École Polytechnique.
- Funding: CIFRE PhD Collaboration with Huawei Technologies, France.
- Thesis: “Towards Expressive Graph Neural Networks: Theory, Algorithms, Applications”.
- Supervisor: Prof. Michalis Vazirgiannis (DaSciM).
- External advisors: Dr. Aladin Virmaux (Huawei), Dr. Kevin Scaman (INRIA Paris).
- Graduation date: 21st March 2022.
October 2012 - February 2018
National Technical University of Athens, Athens, Greece
BSc & MSc in Electrical and Computer Engineering (5-year joint degree; 300 ECTS)
- Order of Entrance: 10th among undergraduate students
- Overall GPA: 9.06/10 (Excellent). Top 3% among graduate class
- Specialization: Computer Science (Major), Mathematics, Networks (Minor)
- Thesis: “Predictive Refueling - Combining machine learning algorithms with optimization calculations for operations planning”. Grade: 10/10.
- Thesis supervision: Prof. Nectarios Koziris (National Technical University of Athens), Dr. Florian Mittag (TWT GmbH Science & Innovation).
July 2012
Nationwide University Entrance Examination score : 19.676/20.000 (top 1% nationwide).
Honors & Awards
- July 2023: Wojcicki Troper postdoctoral fellowship. Named fellowship funded by Harvard Data Science Initiative for outstanding early-career researchers (awarded for 2nd year).
- July 2022: Wojcicki Troper postdoctoral fellowship. Named fellowship funded by Harvard Data Science Initiative for outstanding early-career researchers (awarded for 1st year).
- November 2020: Eleftheria Barka scholarship. Scholarship for graduation excellence and pursuit of doctoral studies for the academic year 2020-2021.
- November 2019: Eleftheria Barka scholarship. Scholarship for graduation excellence and pursuit of doctoral studies for the academic year 2019-2020.
- December 2015: Papakyriakopoulos award. Award of excellence in Mathematics (corresponding subjects in Mathematics).
- March 2014: Silver medal in South Eastern Mathematical Olympiad for university students (aka. Seemous), Iasi, Romania.
- October 2013: Participation in the IEEExtreme 24-Hour Programming Competition.
- September 2012: “The Great Moment of Education” award – scholarship by Eurobank EFG, for excellency in national qualifications exams.
- May 2010: Certificate for the theoretical and practical educational seminar for C.P.R - F.B.A.O - A.E.D knowledge, Red Cross, Greece.
- March 2009: Bronze Medal in National Mathematical Olympiad for high school students in Athens.
Publications & Patents
Please refer to the Publications page for the full list of publications.
Patents
- Aladin Virmaux, George Dasoulas, Kevin Scaman. Normalization scheme for self-attention neural networks. US2023/0385615 A1. November 2023.
- Aladin Virmaux, George Dasoulas, Kevin Scaman. A normalization scheme for self-attention neural networks. WO2022167077 A1 International Publication Number. August 2022.
- George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux. Node Disambiguation. US 2022/0215260 A1. July 2022.
- George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux. Node Disambiguation. WO 2021/058096 A1 International Publication Number. April 2021.
Skills
- Deep Learning Frameworks: Pytorch, TensorFlow, Keras, Pyro, Huggingface
- Programming Languages: Python, R, C++, OCaml, MATLAB, bash, Latex
- Tools & Platforms: Git, Jira, AWS, SageMaker, Cuda, GNU/Linux, Windows, MacOS
Societies & Affiliations
- Conference Reviewer: NeurIPS 2022, NeurIPS 2023, NeurIPS 2024, ICLR 2022, ICLR 2023, ICLR 2024, ICML 2022, ICML 2024, AAAI 2021, AAAI 2022, AAAI 2023, IJCAI 2021, ISMB/ECCB 2023.
- Program Committee: ISMB/ECCB 2023.
- Journal Reviewer: 1) Elsevier’s Neural Networks Journal 2021-Today, 2) IEEE Transactions on Neural Networks and Learning Systems 2020-Today, 3) IEEE Transactions on Pattern Analysis and Machine Intelligence 2023-Today.
- Member: IEEE Computer Society 2013-2014.
Test Scores
- General GRE: Quantitative Score: 167/170, Verbal Score: 157/170, Essay: 4/6.
- TOEFL iBT: 100/120.