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
Current
Isomorphic Labs, Switzerland
Machine Learning Research Scientist
Previous role · started March 2025
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 Paris Research Centre, Paris, France
Doctoral Researcher in Machine Learning
- Laboratory: Mathematical and Algorithmic Sciences Lab.
- 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.