Влада Петренко

Performed quantitative strategy research including feature validation, analysis of financial time series, and strategy backtesting.

Audited operations in financial markets by collecting and processing data, applying stochastic models, and preparing reports with sensitivity analysis and stress testing.

Led team management, strategic planning, product development, and financial management, and collaborated on partnerships for a startup.

Helped implement an algorithmic trading project for a cryptocurrency portfolio using ML and NLP, including development of software for collecting, processing, and analyzing financial and economic data.

Activities and societies: Dissertation: Method for Detecting Security Defects in Large Language Models Using Explainable AI and Knowledge Transfer Techniques

Pursuing methods and systems of information protection with a dissertation on detecting security defects in large language models using explainable AI and knowledge transfer techniques.

Grade: 4.85

Activities and societies: Thesis: Monte Carlo and Quasi-Monte Carlo Methods: From Random Numbers to Financial Models; Mean score: 4.85

Studied Applied Mathematics and Computer Science with a focus on financial mathematics and financial technologies, including work on Monte Carlo and quasi-Monte Carlo methods for financial models.

Grade: 4.85

Activities and societies: Graduation project: Development and launch of PAL (Russian Sign Language solutions); Mean score: 4.85

Studied Management of Innovative Activities and completed a startup-based graduation project focused on developing and launching PAL, a technology startup for Russian Sign Language solutions.