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Researching
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redradman/README.md

Hi! I am Radman ๐Ÿ‘‹

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I am Master's student in UBC. I did my Bachelor's degree, also at UBC, with a combined major of Computer Science in Biology. Currently, my research is focused on teaching humanoid robots to walk robustly using reinforcement learning. Previously, my research was focused on drug discovery using machine learning and advacned simulations.

  • ๐Ÿงฌ Built agent-based disease models with reinforcement learning to simulate outbreaks and interventions
  • ๐Ÿง  Ran billions of simulations using UBCโ€™s supercomputing cluster to train RL agents under variable infection rates and stochasticity levels.
  • ๐Ÿ”— Integrated large-scale simulations with real-time dashboards for tracking agent learning progress, infection metrics, and policy shifts.
  • ๐Ÿš€ Passionate about RL, LLMs, Transformer, synthetic biology, and any system with rules and rebels.

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  1. MujocoPoseLearning MujocoPoseLearning Public

    ๐Ÿค– Teaching a robot standing and kneeling with Reinforcement learning via physics simulation engine ๐Ÿƒ

    Python

  2. Autonomous-lunar-landing Autonomous-lunar-landing Public

    ๐Ÿ›ธ Training an AI (from scratch) to land spacecraft autonomously with Deep Q-Networks ๐ŸŽฎ

    Python

  3. MonteCarloProteinEnhancer MonteCarloProteinEnhancer Public

    Improving protein stability via Monte Carlo (MC) simulations by changing the side chain angles via PyRosetta and Python

    Python

  4. OneAAatATime OneAAatATime Public

    ๐Ÿงซ Computational Exploration of Impact of Single Amino acid mutation on protein stability and functionality ๐Ÿงฌ

    Jupyter Notebook

  5. borehole-analysis borehole-analysis Public

    A regression model built for analyzing the North American Boreholes after parsing and downloading the data (designed for UBC)

    Jupyter Notebook 1