Victor V. Zhorin


Senior Research Associate
University of Chicago

Victor V. Zhorin began his work as a theoretical physicist and an associate professor working on developing first principles quantum-mechanics foundations for a new class of infrared laser materials with mixed type of chemical bonding. Those materials were proven to be of importance for applications in laser communication, femtosecond and microchip laser design.

He was invited by the Argonne National Laboratory (DOE) to work on estimation of long-term radiation damage effects in high-level nuclear waste forms. Research showed that self-healing processes in solid-state matrix partially offset the structural damage around radioactive centers.

Recently, he is involved in economics research to analyze the role of financial systems in developing economies by using advanced structural models of economic growth with financial sector and occupation choice.


Research Projects



Contract-based model of Industrial Organization

Transitions from extractive local monopoly organizations to globally competitive inclusive environments are studied alongside with frictions affecting the outcome of such transitions.

Hierarchical General Equilibrium models

This approarch allows to build unified macroeconomic framework with occupation choice, heterogeneous agents and multiple financial regimes or subeconomies embedded inside master tatonnement process.

Townsend Thai project

Geographic Concentration of Enterprise in Developing Countries

Townsend Thai project

High-Resolution Countrywide Structural Economic Modeling utilizing Distributed Cloud Computing

Wealth management for households

Software to optimize households savings and help them formulate retirement plans and financial goals while facing a variety of occupation and market risks.

Impact of financial services in Mexico

This study seeks to evaluate the impact of financial services on Mexican economy using structural models of growth with occupation choice and financial intermediation.

Dynamic programming with tensorization for SIMD processors, GPUs, INTEL Phi architecture

Robustness



Work in progress