Dr. Issam Laradji
Dr. Issam Laradji

Dr. Issam Laradji

I build human-centered AI agents, benchmarks, and large-scale experiments.

Bio

adasdSenior Staff Research Scientist at ServiceNow and Adjunct Professor at the University of British Columbia. Builds frontier, human-centered, efficient AI systems with reliable, reproducible benchmarks.

Senior Staff Research Scientist · Adjunct Professor · Vancouver, British Columbia, Canada

PhD
UBC
Computer Science · 2014 – 2020
Postdoc
McGill
Computer Science · 2020 – 2021

Recent Updates

2025
Ran four six-week cohorts teaching efficient AI apps.
2025
Delivered n8n agentic AI automation workshop.
2025
Presented DRBench at UBC Applied Math full-day workshop.
Nov 2025
Hands-on tutorial at Microsoft Agent Con on deep research agents.
2025
Hosted weekly reading groups on latest AI papers in Vancouver.
2025
Led bi-weekly AI trends events at NEU via Vancouver AI Meetup (VAM!).
2025
Produced 20 research papers (19 accepted) across ICLR, NeurIPS, CVPR, etc.
2025
Co-organized Agent Arena 2.0 and Agentic AI 1.0 hackathons.
2025
Main presenter for the AgentPoirot podcast.
2025
Hosted four Show & Tell AI apps workshops.

Selected Writings

- asdasdasd20 research papers in 2025 across ICLR, NeurIPS, ACL/EMNLP/NAACL, CVPR, AISTATS, TMLR. - Author/co-author of 50+ peer-reviewed publications (2013–2024) across NeurIPS, ICML, ICLR, CVPR, ECCV, BMVC, ACL/EMNLP. asdasd - [Google Scholar Profile](https://scholar.google.com/citations?hl=en&user=8vRS7F0AAAAJ)

Selected Apps

Selected Libraries

* Python, PyTorch; created and contributed to hundreds of influential GitHub repositories. * Large-scale experimentation utilities (Haven-AI) and benchmarking pipelines.

Selected Papers

* BigDocs, InsightBench, StarDoc, AlignVLM, LitLLM, AgentAda, EDRA, DRBench (2025). * Few-shot learning, self-supervised learning, large-scale optimization, object detection, image segmentation, neural language models.

Featured Talks

* Hands-on tutorial at Microsoft Agent Con on deep research agents and benchmarks (Nov 2025). * Tech talk on agentic AI at West Vancouver Library (2025). * AgentPoirot podcast guest and multiple ServiceNow Show & Tell sessions.

Selected Communities

* Boardgames * Vancouver AI Meetup

Selected Challenges

* Scaling deep research agents to handle multi-modal documents with high precision. * Building reliable benchmarks for insight extraction that generalize across enterprise domains. * Optimizing large-scale experiments to be both reproducible and cost-effective.