RESEARCH STATEMENT

My research interests are broadly in the application, innovation and impact of AI and frontier technologies on creativity and in the future of work. In particular, I am interested in:

• Computational creativity
• Generative AI
• Human-AI collaboration
• Economics of unstructured data

I apply a combination of deep learning, multimodal feature extraction, and causal inference methods to large-scale datasets to derive insights from unstructured data.

PUBLICATIONS

PROJECTS

INVITED TALKS

CONFERENCES

AWARDS

1. Marketing Science Institute research grant ($5,000)
2. Questrom Outstanding Research Award
3. Nominated for: Falling Walls Science Breakthrough of the Year 2024 in Art & Science
4. WISE 2022 Best Student Paper Finalist