|AI Research Scientist
|Work in AI problems with structured outputs given data and/or description of business and context. Research in AI algorithms that use existing algorithms and components for simpler AI problems. Lead the development of robust AI aware of business contexts, engaging the right problem to solve.
- 2021.03 - 2023.08
Fundamental research in AI reasoning and NeuroSymbolic methods. Support applied research within ServiceNow.
- 2018.09 - 2021.02
Reasoning on top of a ML model. Achieved double-digit absolute improvement in hard cases of a vision-related task, without losing good performing cases of the pure ML-based model.
- 2016.11 - 2018.09
Intent similarity by Siamese Network using dense data. Question answering on domain-specific content and no training data.
- 2008 - 2010
Stimulated, coordinated and enabled online activism for data crowdsourcing during natural disasters and elections.
Joint work with Xiaotian Liu (University of Toronto) and Christian Muise (Queen's University)
Awarded for an outstanding paper at JAIR.
ICAPS -- International Conference on Automated Planning and Scheduling
ECCAI -- European Coordinating Committee for Artificial Intelligence
Awarded for the number of problems solved given a time limit.
|Research Coordination and Leadership
|Defining problems and scope
|Harnessing team skills and interests
|Aligning strategically with research and business objectives
|Fundamental Research Problems
|Preference fulfillment and optimization
|Properties of Methods