Scholar
Teddy Lazebnik
Google Scholar ID: 7Kl5lGYAAAAJ
Assistant Professor
Citations & Impact
Citations
1,130
H-index
19
i10-index
36
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Background
- Researcher in Applied Mathematics and Computer Science
- Extensive experience leading R&D teams in life sciences and financial domains
- Over a decade of software development experience, including seven years managing development teams of up to 14 professionals
- Expertise includes bio-physical simulations, big data analysis, and data analysis for information systems
- Research focuses on applying advanced mathematics and computer science to life sciences and socio-economic domains
- Research interests include AI-driven personalized treatment protocols, drug discovery, Explainable AI, socio-economic systems modeling and simulation, and optimal policy detection from financial data
