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seyonechithrananda/README.md

Hi there, I'm Seyone 👋

This is outdated, and I will update it (one day)

I'm a 17 year old senior in high school working on computational drug discovery and machine learning as a Research Intern in the Aspuru-Guzik Group at the University of Toronto and Vector Institute. One of the projects I help develop there is SELFIES, a 100% robust molecular string representation for machine learning models. Previously, I worked as an ML intern on the Applied AI team at Integrate.ai, an enterprise software company building a consumer insights platform for Fortune 500 companies.

  • 🔭 I’m currently working on democratizing deep learning for the life sciences with DeepChem. I work on developing sequence and graph based models for understanding structural biology and chemistry
  • 🔬 My research is supported by the Emergent Ventures Fellowship, given by Tyler Cowen at the Mercatus Centre and funded by the Thiel Foundation.
  • 🌱 I’m currently learning NLP, Deep Graph Library, and neuroscience 🧠
  • ⚙️ I use python, tensorflow, pytorch, sklearn, pandas, transformers, and dgl
  • 👯 I’m looking to collaborate on machine learning for chemistry, biology, and materials science
  • 💬 Ask me about geometric learning, natural language processing and computational chemistry.
  • 📫 How to reach me: Twitter | LinkedIn | Email

Seyone's github stats

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  1. bert-loves-chemistry bert-loves-chemistry Public

    bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

    Jupyter Notebook 416 64

  2. deepchem/deepchem deepchem/deepchem Public

    Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

    Python 5.6k 1.7k

  3. aspuru-guzik-group/selfies aspuru-guzik-group/selfies Public

    Robust representation of semantically constrained graphs, in particular for molecules in chemistry

    Python 697 128

  4. arvindrajaraman/plasticity-rl arvindrajaraman/plasticity-rl Public

    Deep RL faces the problem of plasticity loss, which is the loss of ability of neural networks to adapt to new data/conditions. We discover that regularizing singular values is a promising direction…

    Python 3 1

  5. ronboger/conformal-protein-retrieval ronboger/conformal-protein-retrieval Public

    Jupyter Notebook 6 1

  6. microsoft/olfaction microsoft/olfaction Public

    Code for paper "Mapping the combinatorial coding between olfactory receptors and perception with deep learning"

    Jupyter Notebook 6 1