Background
Her Harvard PhD in computer science (2010) was on human-AI collaboration and multi-agent systems. She holds a BS in CS & Engineering from Sabanci University.
At Microsoft Research for 16 years, she rose to CVP running the AI Frontiers Lab. She championed AutoGen, the open-source multi-agent framework, and work on generalist agents such as Magentic-One. Her recurring theme is human oversight and human-AI teaming.
What they run now
Leads Turing's technology and research strategy across both its frontier-AI (lab) and enterprise-AI divisions, including research into agent collaboration between AI systems and between AI and humans.
Career
- 2026 – presentChief Technology Officer, Turing
- 2026Researcher, rising to Managing Director and then Corporate VP, AI Frontiers Lab, Microsoft Research — 16 years
- 2010Harvard University, PhD Computer Science — human-AI collaboration, multi-agent systems
- —Sabanci University, BS Computer Science & Engineering
On the record
She says frontier AI research is no longer academic and needs real customers, users and builders: "AI research doesn't happen in an isolated academic community anymore." source
Unless agents reach near-perfect performance, humans must stay in charge. She cited agents completing ~30-35% of tasks against ~85% for humans. source
She expects more specialised models and agents rather than one agent with identical capabilities everywhere. source
She sees Turing as sitting between the frontier labs and the enterprises struggling with AI transformation. source
