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Sofia Hernandez Adame

Sofia Hernandez Adame

Followers of Sofia Hernandez Adame803 followers
location of Sofia Hernandez AdameBoston, Massachusetts, United States

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  • Timeline

  • About me

    Associate Director of Machine Learning

  • Education

    • University of Southern California

      -
      Master of Arts - MA Computational and Applied Mathematics 3.9/4.0

      Activities and Societies: MAA, AMS, APS, MGSA MA in Computational and Applied Mathematics. Expert knowledge of optimization, machine learning/statistical learning theory, and fluid dynamics. Research published in APS Physical Review Letters E.

    • University of Southern California

      -
      Doctor of Philosophy - PhD Mathematics 3.9/4.0

      Activities and Societies: MGSA, AMS, MAA, APS PhD in Pure Mathematics. Graduate level coursework in analysis, probability, statistics and numerical methods. Research focus on QML, Machine Learning and Optimization. Left in good standing to pursue industry career in ML Research.

    • Massachusetts Institute of Technology

      -
      Bachelor of Science (B.Sc.) Applied Mathematics 4.8/5.0

      Activities and Societies: Mexican American Engineering Society (MAES), Zeta Beta Tau BS in Mathematics, concentration in Russian studies. My focus was in Theoretical Computer Science applied towards numerical PDE solvers, Quantum Computation, and Machine Learning. Graduate level studies on these subjects.

  • Experience

    • MIT School of Science

      May 2017 - Jun 2018

      In collaboration with Professors Luiz Faria and Carlos Perez-Arancibia generalized a numerical solver for 2-D PDEs to 3-D and compared its effectiveness to current state of the art algorithms for parabolic/elliptic BVP. With the guidance of Professor Tobias Colding and graduate student Jiewon Park analyzed self-similar solutions to the Vortex Filament Equation. Categorized conditions for the existence of rotating solutions to the flow.

      • Researcher in Numerical PDEs

        Sept 2017 - Jun 2018

      • Researcher in Geometric Flows

        May 2017 - Sept 2017

    • Institute for Pure and Applied Mathematics

      Jun 2018 - Aug 2018
      Researcher in Computational Biology

      Created a (parallelizable) computer model for the inter-cellular interactions relevant to cancer formation utilizing stochastic numerical PDE methods to create a visualization of cellular membrane in cancerous protein interactions.Presented at the 2019 Joint Mathematics Meeting. Won the ‘Outstanding Poster’ award

    • UCLA Mathematics

      Jan 2019 - Jan 2021
      Applied Micro-fluidics researcher

      Modeled the behavior of micro-encapsulating particles through mathematical and computational/stochastic models developed by the team. Presented in 2019 APS Department of Fluid Dynamics conference. Work published APS Physical Review Letters E.

    • MIT School of Science

      Feb 2019 - Jun 2019

      Researched applications of near-term short-depth quantum circuits (our current quantum computers) in machine learning under the supervision of Peter Shor and Ramis Movassagh. Explored the construction of ancient solutions to the Curve Shortening Flow on the sphere, which obtain infinite length as the flow is run backwards, under the supervision of Prof. Christos Mantoulidis.

      • Researcher, Quantum Machine Learning

        Feb 2019 - Jun 2019

      • Researcher in Geometric Analysis

        Feb 2019 - May 2019

    • 1910 Genetics

      Feb 2021 - Dec 2021
      AI Research Scientist

      AI-driven small molecule and protein design. Lead developer of GNN molecular property prediction platform. (PyTorch, DGL).Designed multi-task GNN molecular prediction algorithms and developed in-house library tool for GNN explainability.Mentored junior researchers in algorithm development for drug discovery and best practices for MLOps.Led projects for data collection and CRO management with the Medicinal Chemistry department for the development of our internal pipelines.

    • OnCorps

      Dec 2021 - Nov 2023
      Director of Machine Learning Engineering

    • Korro Bio, Inc.

      Nov 2023 - now
      Associate Director of Machine Learning

  • Licenses & Certifications

    • Masters of Arts Applied Mathematics

      University of Southern California

  • Honors & Awards

    • Awarded to Sofia Hernandez Adame
      Diversity, Inclusion and Access Fellowship University of Southern California Aug 2020
    • Awarded to Sofia Hernandez Adame
      Outstanding Poster Mathematical Association of America Jan 2019 Outstanding Poster for work modelling Oncogenic Proteins and their effect on cellular wall deformations.
    • Awarded to Sofia Hernandez Adame
      Eugene and Margaret McDermott Fund - 2016
    • Awarded to Sofia Hernandez Adame
      Harry W. Poole Scholarship Fund - 2016

  • Volunteer Experience

    • Volunteer and Organizer

      Issued by San Ramon Parks Services
      San Ramon Parks ServicesAssociated with Sofia Hernandez Adame