cv
Basics
Name | Angel Ollin Patricio |
Label | Student Researcher |
aopatric@mit.edu | |
Phone | +1 (323) 627-0056 |
Url | https://aopatric.github.io/ |
Summary | An East Los Angeles-born researcher pursuing foundation world models and learning algorithms. |
Work
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2025.01 - Present Undergraduate Researcher
MIT CSAIL
Working in Prof. Armando Solar-Lezama's group on a benchmark for neurosymbolic reasoning in the domains of planning and perception.
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2024.9 - 2025.2 Undergraduate Researcher
MIT Media Lab
Worked on the Camera Culture group's Project SONAR to develop a cross-platform framework for decentralized training of machine learning models through data-secure aggregation (FedAvg, FedProx, etc.).
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2024.04 - 2024.09 Undergraduate Researcher
MIT IMES
Spent a summer at IMES working on a project to adapt language models for single-cell RNA sequencing data. Trained on >30M unique cell profiles using up to 6x A100 machines through huggingface accelerate and vast.ai.
Education
-
2022.09 - 2026.05 Cambridge, MA
Skills
Tools | |
Python, Julia | |
Numpy, Pandas | |
Scikit-Learn, PyTorch | |
Huggingface, Vast.ai | |
Langchain, Ollama |
Topics | |
Probabilistic Machine Learning | |
Reinforcement Learning | |
Deep Learning | |
Deep Reinforcement Learning |
DevOps | |
Git, Github | |
Docker, Kubernetes | |
AWS, Azure | |
Linux, Bash |
Languages
English | |
Native speaker |
Spanish | |
Native speaker |
Interests
ML | |
Reinforcement Learning | |
World Modeling | |
Learning Algorithms |
Projects
- 2025.06 - 2025.06
- 2025.03 - Present
GPD
A novel decoding approach for dynamic compute allocation at inference time and reduction of compute cost.
- Python
- PyTorch
- Knowledge Distillation
- Reinforcement Learning
- Information Theory
- 2025.06 - Present
notebook-ml
A collection of notebooks for machine learning.
- Python
- Jupyter
- Machine Learning
- Deep Learning
- 2025.06 - Present
rolling-notes
A repo full of my notes and problem solutions in different ML domains and readings.
- Jupyter
- Probabilistic Machine Learning
- Deep Learning
- Markdown
- Probability