- Atom by atom fabrication via electron beams. Applications of machine learning and artificial
- intelligence for physics extraction from the atomically-resolved and mesoscopic imaging data.
- Coupling between electromechanical, electrical, and transport phenomena on the nanoscale.
- Developing novel SPM techniques, mathematical analysis of SPM data, quantitative measurements of local properties by SPM
PhD, University of Pennsylvania
Awards and Recognitions
Symposium X Lecture, Materials Research Society, Fall 2018
RD100 Award, “Atomic Forge”, 2018
Highly Cited Researcher, Clarivate Analytics, 2018
Blavatnik National Award for Young Scientists in Physics, Laureate, 2018
Fellow; American Physical Society, Materials Research Society, Institute of Physics, IEEE, AVS