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rssrwn/README.md

About Me

I am a PhD student at the Molecular AI department in AstraZeneca, as well as at Chalmers University. I mostly work on deep learning for molecular generation and representation learning, but also have other research interests, including neurosymbolic learning, reinforcement learning and evolutionary algorithms.

My most significant (publically available) recent work has been on Chemformer - a pre-trained transformer for seq-to-seq computational chemistry tasks, and MolFlow - a flow-matching model for 3D molecular generation.

If you have any questions about my work or would just like to get in touch, feel free to email me - rossir [at] chalmers [dot] se

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  1. MolecularAI/MolBART MolecularAI/MolBART Public

    Pretrained SMILES transformation model for finetuning for diverse molecular tasks.

    Python 43 9

  2. hvqa hvqa Public

    Neurosymbolic model for Video Question Answering - Master's project at Imperial

    Python

  3. hvqa-dataset hvqa-dataset Public

    Dataset for Hybrid VideoQA project

    Python

  4. edubot edubot Public

    Interactive platform to help children learn programming concepts - group project at Imperial

    JavaScript

  5. genetic-search genetic-search Public

    Library for building and running genetic algorithms

    Scala

  6. genetipher genetipher Public

    Decipher text using genetic search over possible encryptions

    Scala