Research meeting practice

I am interested in the path from mathematical and scientific ideas to systems that create measurable value: industrial collaboration, scientific software, technology transfer, and selective startup activity.

AMS AI — Chief AI Scientist

I am involved with AMS AI, a healthcare technology company applying AI to hospital procurement and operational workflows. My role is Chief AI Scientist, bringing optimization, machine learning, and algorithmic systems thinking to practical healthcare problems.

Visit AMS AI →

Industry and technology transfer

My research has included industrial and applied collaborations in energy optimization, AI, high-performance computing, process control, and scientific machine learning. Past work includes a Cisco–CTU industrial grant, supercomputing allocations, and deployment-oriented optimization and control.

I am particularly interested in collaborations where the mathematical problem is genuinely coupled to the operational one: real-time decisions, uncertainty, physical constraints, expensive computation, or heterogeneous computing hardware.

Patents and translational work

Recent work includes patent activity in quantum optimization and federated computer-processing architectures, alongside research projects designed with software and deployment pathways in mind.

For collaboration inquiries: slava@alumni.duke.edu.