AI-focused research portfolio
I’m preparing for a PhD in an AI-related field, with research interests at the intersection of human-centred AI, collective intelligence, and evaluation methodology. I care about how people and systems make decisions under uncertainty and how AI can be designed and evaluated to improve robustness, trust, and real-world performance.
At a Glance
- Current: R&D Consultant (technical analysis + research-style documentation)
- Background: MSc in Collective Intelligence + AI/ML projects across experiments, NLP, forecasting
- Strength: rigorous evaluation, careful claims, and clear research communication
- PhD goal: AI-related research (applied ML / human-centred AI / collective intelligence)
Work conducted
- Water Connectivity (RCT Design): cluster randomization, power analysis, ITT/LATE evaluation design • Read
- Source Credibility Experiment: belief updating, confidence, and trust across expert vs anonymous sources • Read
- Deliberation Error Analysis (Vision 2030): taxonomy-based quality analysis for participatory data • Read
- Master’s Thesis (Industry-embedded AI): deep learning and ensemble methods under real-world constraints • Read
Contact
If you are a supervisor or lab working on AI-related research (human-centred AI, evaluation, collective intelligence), I would be happy to connect.