Professional Services
- Co-founder and Lead Organizer for Learning on Graphs conference 2022, 2023, Logistics Chair (2024, 2025), 1st (NJIT), 2nd (NJIT), 3rd (Flatiron Institute) Learning Meets Geometry, Graph and Network meetup at NYC, 2024, 2025, and 1st LoG Seattle meetup, 2024.
- Founder and Lead Organizer for AI for Science: Mind the Gaps workshop with NeurIPS 2021, AI for Science: Theories and Foundations workshop with ICML 2022, AI for Science: Progress and Promises workshop with NeurIPS 2022, AI for Science: From Theory to Practice workshop with NeurIPS 2023, AI for Science: Scaling in AI for Scientific Discovery workshop with ICML 2024.
- Co-organizer for Frontiers in Probabilistic Inference: learning meets Sampling workshop with ICLR 2025, Co-founder and Lead Organizer for Structured Probabilistic Inference & Generative Modeling workshop with ICML 2023, ICML 2024. Lead Organizer for Deep Generative Models for Highly Structured Data workshop with ICLR 2022.
- Lead Organizer for Cornell AI for Science Seminar, Spring 2024.
- Other events organized: Computational Sustainability: Promises and Pitfalls from Theory to Deployment NeurIPS 2023, AAAI 2021 (Virtual Team), KDD 2021 (Web Team), DLG KDD 2021 and DLG AAAI 2022, DeepSpatial KDD 2020 and DeepSpatial KDD 2021.
Selected Review Services
- Conference Area Chair: NeurIPS (2025-)
- Conference Reviewer: NeurIPS (2022-2024), ICML (2022-), ICLR (2022-), AAAI (2023-2024), ECCV (2024), CVPR (2023), KDD (2023), ICCV (2023), AISTATS (2022)
- Journal Reviewer: Science Advances, Nature Computational Science, Nature Comms, TPAMI, JCTC, TMLR, npj Digital Medicine
- Proposal: NeurIPS, ICML workshops
Open-source Softwares (Benchmarks and Libraries)
- M²Hub Machine Learning for Materials Discovery
- GraphGT Machine Learning for Graph Generation and Transformation
- Graphein Geometric Deep Learning and Network Analysis on Biomolecules
- TDC Artificial Intelligence for Therapeutic Science
- Gauche Gaussian Processes in Chemistry
Volunteers & Other Services
- ICLR, ICML, KDD 2021 Student Volunteer
- NSF REU Summer 2021 Student Mentor (GMU)
- AAAI 2021, KDD 2021 Student Technical Team
- Microsoft Learn Student Ambassador (e.g. Organize Intro to AI and ML Workshop)
- Contribute to DLG4NLP and GNN-Book
- Contribute to the open-source community (e.g. DeepChem)
- Student Member of ACM, IEEE, IEEE Computer Society, AAAI, SIAM, ASA Community
- GMU Engineering Week Panelist, 2021 Spring
- GMU SCAN Mentor, 2021 Spring
