I have recently completed my PhD in Computer Science at Harvard University. My academic advisors were Barbara Grosz and Avi Pfeffer. (For a quick look at my doctoral thesis click here.)
My interests as a researcher lie within artificial intelligence and multi-agent systems, with a focus on decision-making, collaborative systems and the design of versatile, effective agents. Most of my work is inspired and heavily influenced by cognitive psychology and behavioral economics.
I posit that there are five wide open issues at the frontier of AI today:
- Dealing with scale, stochasticity and uncertainty in our systems, by considering more versatile algorithms and modeling techniques.
- Capturing the flexibility and effectiveness of people's affective and cognitive systems, and how we can learn from them to design better computer agents.
- Understanding how humans in our systems make decisions, and developing computational models of these processes.
- Revising normative theories (e.g., game theory) to account for non-utility-maximizing behavior, yet still provide their benefits as analysis tools.
- Understanding how expressions of emotion by computers can impact people's perception of agents' traits and the success of computer-human collaborative teams.