Lam Hoang


Lam Hoang


Research Staff Member, Master Inventor


IBM Research Europe - Ireland Dublin, Ireland


Welcome to my personal website. I earned my specialist degree with honors in applied mathematics and computer science from Lomonosov Moscow State University, Russia, in 2007. In 2013, I obtained my PhD in computer science with cum laude distinction under the supervision of Professor Toon Calders and Professor Paul De Bra at Eindhoven University of Technology (TU/e), the Netherlands. My recent research focuses on AI for science, including the development of foundational models for scientific data such as molecules, proteins, and crystals.


  • IBM Corporate Technical Award for AutoAI 2021
  • IBM Outstanding Technical Achievement Award for 'Toward automating the AI lifecycle with AutoAI' 2019
  • IBM Outstanding Technical Achievement Award for 'z AI and Modernization for the z15' 2019
  • IBM Master Inventor 2022
  • My PhD thesis was nominated by  the department of Mathematics and Computer Science, Eindhoven University of Technology in 2014. for the  best PhD thesis award Eindhoven University of Technology (TU/e) in December 2014
  • Nominated for the best paper award at SIAM Data Mining Conference SDM 2012.

Academic service:

  • Conference PC member: NeurIPS (since 2021), ICLR (since 2022), AAAI ( since 2020), IJCAI (since 2020), ICML ( since 2021),
  • Journal reviewer: DAMI (Springer), Information System (Elsevier)
  • I am a Kaggle competition master

Selected publications:

  • Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Victor Valls, Gabriele Picco, Cesar Berrospi, Vanessa López: Knowledge Enhanced Representation Learning for Drug Discovery. AAAI 2024
  • Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung T. Phan, Vanessa López, Ramón Fernandez Astudillo: Ensembling Graph Predictions for AMR Parsing. NeurIPS 2021: 8495-8505
  • Gabriele Picco, Marcos Martínez Galindo, Alberto Purpura, Leopold Fuchs, Vanessa López, Thanh Lam Hoang: Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction. ACL (demo) 2023: 357-368
  • Young-Suk Lee, Ramón Fernandez Astudillo, Hoang Thanh Lam, Tahira Naseem, Radu Florian, Salim Roukos: Maximum Bayes Smatch Ensemble Distillation for AMR Parsing. NAACL 2022: 5379-5392
  • Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz: Automated Data Science for Relational Data. ICDE 2021: 2689-2692
  • Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders: Mining Compressing Sequential Patterns. SDM 2012: 319-330
  • Hoang Thanh Lam, Toon Calders, Ninh Pham: Online Discovery of Top-k Similar Motifs in Time Series Data. SDM 2011: 1004-1015
  • Hoang Thanh Lam, Toon Calders: Mining top-k frequent items in a data stream with flexible sliding windows. KDD 2010: 283-292

IBM products:

I am part of the following open-source initiative:

  • TabularFM A framework for building and benchmark foundational models for tabular data.
  • Graphene: graph ensemble learning for AMR parsing
  • ZShot: a Spacy plug-in for few and zero shot for named entity recognition and classification with textual descriptions.

Mentoring activities:





Knowledge Enhanced Accelerated Discovery

Enhance scientific discovery with multimmodal knowledge

Top collaborators

Subhro Das

Subhro Das

Research Staff Member, Master Inventor
Vanessa Lopez Garcia

Vanessa Lopez Garcia

Senior Research Scientist and Manager, AI for Health and Social Care, Master inventor