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francescazfl/README.md

I am a Bioengineering Ph.D. student at Caltech, currently focusing on the development and evaluation of machine learning-assisted protein engineering tools, co-advised by Frances Arnold and Yisong Yue. Additionally, I have collbaorated with Kevin K. Yang, Alex X. Lu, and Ava P. Amini during my summer internship at Microsoft Research New England. I am also passionate about making impactful computational tools accessible to wet-lab scientists and engineers.

Featured Projects Led by Me:

  • Evaluation of Machine Learning-Assisted Directed Evolution Across Diverse Combinatorial Landscapes (code, paper)
  • Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models (code, paper)

Featured Projects I Contributed To:

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  1. microsoft/protein-transfer microsoft/protein-transfer Public

    Python 26 5

  2. fhalab/SSMuLA fhalab/SSMuLA Public

    Code base for "Evaluation of Machine Learning-Assisted Directed Evolution Across Diverse Combinatorial Landscapes"

    Jupyter Notebook 5 1

  3. fhalab/LevSeq fhalab/LevSeq Public

    Pipeline for Nanopore sequencing: demultiplexing, variant calling, and quality visualization with error handling.

    Makefile 5 1

  4. fhalab/LevSeq_db fhalab/LevSeq_db Public

    Visualization for the LevSeq project

    Python