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General Information

Full Name Katherine I. Driscoll
Programming Python, C++, Bash, Julia, R, Wolfram, Fortran, SQL
Languages English, French, Spanish

Work Experience

  • 2022 - Present
    Computational Biologist
    DeepLife, Grenoble (remote), France
    • Benchmark of internal methods and open-source single-cell foundation models used in target identification.
    • Development of an API to easily serve single-cell foundation models.
    • Atlas construction and evaluation from single-cell RNA sequencing data.
    • Pilot project to identify biomarkers from various transcriptomic data sources.

Education

  • 2022
    Ph.D. in Theoretical Physics
    Long-range Coulomb interactions and charge frustration in strongly correlated quantum matter
    Université Grenoble Alpes, Grenoble, France
    • Supervisors: Dr. Simone Fratini and Dr. Arnaud Ralko
    • Condensed Matter Theory Group, Néel Institute CNRS
  • 2018
    M.Sc. in Physics
    Atomic scale modeling of physical, chemical, and biomolecular systems
    Erasmus Mundus Joint Masters degree awarded by:
    • École Normale Supérieure de Lyon, Lyon, France
    • La Sapienza Università di Roma, Rome, Italy
    • Universiteit van Amsterdam, Amsterdam, Netherlands
    • Vrije Universiteit van Amsterdam, Amsterdam, Netherlands
  • 2016
    B.Sc. in Physics, B.Sc. in Mathematics
    Cum laude
    University of South Carolina, Columbia, SC, United States

Research Experience

  • 2022 - Present
    Computational Biologist
    DeepLife, Grenoble (remote), France
    • Benchmark of internal methods and open-source single-cell foundation models used in target identification.
    • Development of an API to easily serve single-cell foundation models.
    • Atlas construction and evaluation from single-cell RNA sequencing data.
    • Pilot project to identify biomarkers from various transcriptomic data sources.
  • 2018 - 2022
    Graduate Research Assistant
    Néel Institute CNRS, Grenoble, France
    • Implemented exact diagonalization code with Ewald summation and twisted boundary conditions to characterize the phase diagram of long-range interacting systems, published in Phys. Rev. B.
    • Developed classical Monte Carlo codes to demonstrate that long-range interactions constitute a microscopic mechanism explaining anomalous electron transport
    • Supervised 2 internship students extending diagonalization codes to spinful and finite temperature systems
  • 2018
    Master Student Research Intern
    Vrije Universiteit van Amsterdam, Amsterdam, Netherlands
    • Utilized linear programming techniques in Mathematica to study the effects of interaction range, screening and convexity of cost functions on a 3 particle system
  • 2014-2016
    Undergraduate Research Assistant
    University of South Carolina, Columbia, SC, United States
    • Analyzed data from mean feld theory calculations for biophysical applications
  • 2015
    Undergraduate Summer Research Intern
    RWTH Aachen University, Aachen, Germany
    • Implemented molecular dynamics simulations to examine the effect of membrane curvature on huntingtin binding
  • 2014
    Undergraduate Summer Research Intern
    University of Pittsburgh, Pittsburgh, PA, United States
    • Examined the role of the β-hairpin 3 from Rad-4 in DNA damage recognition through fluorescence anisotropy and atomic force microscopy, leading to a publication in Molecular Cell
  • 2013
    Undergraduate Summer Research Intern
    Medical University of South Carolina, Charleston, SC, United States
    • Cultured and 3D-printed tri-culture tissue spheroids

Algorithmic Interests

  • Machine learning and data science
    • Graph transformers
    • Diffusion models
    • Variational autoencoders
    • Large language models
    • High dimensional searches (hierarchical navigable small world approach)
    • Dimensionality reduction techniques (UMAP, tSNE)
    • Topological data analysis and topological deep learning
  • Quantum mechanics and computational physics
    • Symmetrization of exact diagonalization routines
    • Tensor network methods (density matrix renormalization group)
    • Quantum Monte Carlo
    • Classical Monte Carlo
    • Electronic structure methods (density functional theory, GW approximation)
    • Molecular dynamics

Other Interests

  • Climbing 🧗, hiking 🥾, skiing ⛷️, cooking vegetarian recipes 🍆, learning new languages 📚