I currently run a proprietary quantitative trading company, the main objective of this company is to generate stable returns based on a microscopic simulators that performs macro system level tasks.

I currently run a multiasset high frequency trading company, the main objective of this company is to generate stable returns based on a microscopic simulators that performs macro system level tasks.

Researcher at the scientific computation for complex/multiscale systems modeling group. The group has established a systematic connection (called "equation-free" computation) between macroscopic, continuum numerical analysis and microscopic/atomistic/stochastic simulators (such as molecular d dynamics, kinetic Monte Carlo, Brownian dynamics or agent-based simulators). The framework circumvents the derivation of closed, macroscopic equations, and allows microscopic simulators to perform systems-level tasks directly. Applications range from the long-time dynamics and thermodynamics of peptide fragments to complex fluids (liquid crystal rheology, micelle formation), computational materials science, lattice gas models of surface reactions, chemotaxis, epidemiology and more. Beyond direct simulation, the approach can be used to accelerate tasks such as parametric/stability analysis, optimization and controller design. This work involves extensive collaboration with experts in the particular fields, many of them at Princeton