University of Pennsylvania CO 2026, studying Math and Computer Science with a focus on novel AI / ML architectures. Currently working with generative transformer models for time series forecasting and computer vision problems.

University of Pennsylvania

*   Collaborating with Professor Jianbo Shi on designing + implementing generative models for reproducing HTML / CSS source code from web page screenshots as part of MLR@Penn’s Research Group
*   Using existing vision models like SAM and CLIP as basis for novel architecture involving cross-attention among divs

Computer Vision Researcher

*   Researching the use of transformer models for predictions on time-series data, particularly stock prices
*   Training Hugging Face’s Informer model to do medium-term predictions on various Index ETFs immediately following
*   the release of disruptive technologies like ChatGPT

Undergraduate Statistics Researcher

*   Conducted research on optimal-transport based conditional sampling under faculty from CalTech and Baruch College
*   Developed Python-based optimization and bench-marking algorithms using JAX Autograd, NumPy, and SciPy libraries
*   Reduced runtime of existing code by 90 percent without loss in accuracy.
*   Organized meetings with mentors / other involved undergraduates to discuss progress / future directions.

Roberto Ligeralde

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