Zhengyang Jin

Boston College | Chestnut Hill, MA, USA

• Advisor: Prof. Momchil Tomov
• Focus: Computational modelling of human cognition & behaviour.

University of Sussex | Brighton, UK

• Graduated with Distinction
• Dissertation: Extending Computational Visual Models for Colour Image Processing
• Evaluated standard computational vision structures using basic spatial filters to enhance shape feature recognition over textures.

University of Sussex | Brighton, UK

• Graduated with First-Class Honours
• Dissertation: Parameter Tuning for Synchronization in Mathematical Networks
• Conducted mathematical fitting for network dynamics, simulating network structures incorporating time delays and coupling strengths.

Rogers Research Group, University of Northwestern | Remote

• Supervised by Prof. John A. Rogers.
• Conducted time-series data analysis on standard physiological signals to build computational models for prediction tasks.
• Applied statistical distributions and foundational modeling techniques to understand and classify behavioral patterns in small-scale feature data.
• Performed algorithm evaluation and interpretability studies to ensure the reliability of the computational models.

HLP Lab, University of Rochester | Remote

• Supervised by Prof. Florian Jeager & Prof. Yuhao Zhu.
• Engaged in independent research collaboration focusing on cross-talker generalization in computational speech perception.
• Utilized statistical modelling concepts to create data structures capable of capturing speech variations.
• Analysed large-scale interaction data using Generalized Linear Mixed Models (GLMMs) to map learning distances to behavioural outcomes.

A*STAR (Agency for Science, Technology and Research) | Singapore / Remote

• Conducted literature reviews, developed mathematical and computational models, optimized algorithms, and performed data annotation for research projects.
• Constructed standard virtual 3D scenes to serve as simulation training sets for evaluating algorithms.

hyperTunnel | London / Remote

• Conducted literature reviews and implemented cutting-edge algorithms from academic papers.
• Developed computational models for autonomous systems and performed simulations to evaluate and optimize system performance.
• Designed a task scheduling and motion control framework in a simulated environment, optimizing operational efficiency.

Microsoft | London / Remote

• Studied fairness-aware algorithms to understand how to mitigate statistical bias in software systems and ensure equitable user exposure.
• Explored statistical modeling and data-driven concepts to model dynamic user preferences, assisting in the optimization of user interface layouts.