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chirathyh/README.md

Chirath Hettiarachchi

Machine learning researcher working on sequential decision-making, scientific ML, and computational methods for biomedical systems.

I build learning and simulation systems for complex biological dynamics, including reinforcement learning for closed-loop insulin delivery and neuromodulation.

Selected work

  • NeuroStimEnv — biophysical neural simulation + EEG + transcranial stimulation + reinforcement learning.
  • RL4T1D — research infrastructure for reinforcement learning in Type 1 Diabetes.
  • G2P2C — reinforcement learning with glucose prediction and planning for automated insulin delivery.
  • GluCoEnv — simulation environment for RL-based glucose control.

Research: Reinforcement Learning · Sequential Decision-Making · Scientific ML · Dynamical Systems · Computational Neuroscience

Website · Google Scholar · LinkedIn

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  1. RL4H/G2P2C RL4H/G2P2C Public

    Reinforcement Learning based Artificial Pancreas Systems for Controlling Blood Glucose in Type 1 Diabetes.

    Jupyter Notebook 36 21

  2. RL4H/GluCoEnv RL4H/GluCoEnv Public

    GluCoEnv - Glucose Control Environment, is a simulation environment which aims to facilitate the development of Reinforcement Learning based Artificial Pancreas Systems for Glucose Control in Type …

    Python 23 6

  3. RL4H/RL4T1D RL4H/RL4T1D Public

    Developing RL-based treatment strategies for Type 1 Diabetes.

    Jupyter Notebook 13 6

  4. neurostimenv neurostimenv Public

    A simulation environment for developing RL-based transcranial brain stimulation treatment for psychiatric and neurological disorders.

    C 2 1

  5. ClardiaResearch ClardiaResearch Public

    Exploring the relationship between PPG signals and Type 2 Diabetes.

    Python 10 3

  6. ClardiaDevice ClardiaDevice Public

    HTML