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yogeshverma1998/README.md

Moi! 👋

I am Yogesh Verma, a doctoral researcher in machine learning at Aalto University, Finland. Before my Ph.D. in machine learning, I studied bachelor's and master's in physics. I like to think about things at the intersection of physics, machine learning, and its application in the sciences.

🧑‍💻 Work Experience:

  • Jan 2022 -: Doctoral Researcher @ Aalto University, Finland.
  • July 2024 - Nov 2024: Machine Learning Research Intern @ Huawei, Finland. I worked on analyzing the hemodynamic physiological signals of the human body to infer health biomarkers.
  • July 2021 - Nov 2021: Research Associate @ Univeristy of Zurich. I worked on characterizing rare events in pp collisions in the CMS experiment and CERN.

📚 Education:

  • 2022 Jan - Aalto University, Doctoral Programme in Science.
  • 2016 - 2021 - Indian Institute of Science Education and Research Mohali, India. Integrated Bachelors - Masters in Physics focusing on experimental high energy physics.

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  1. Aalto-QuML/ClimODE Aalto-QuML/ClimODE Public

    ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs

    Python 117 14

  2. Aalto-QuML/TopNets Aalto-QuML/TopNets Public

    Topological Neural Networks go Persistent, Equivariant and Continuous

    Python 14 2

  3. Aalto-QuML/PIPE Aalto-QuML/PIPE Public

    Positional Encoding meets Persistent Homology on Graphs

    Python 6

  4. AbODE_ AbODE_ Public

    Python 6 1

  5. Aalto-QuML/RISE Aalto-QuML/RISE Public

    Robust Simulation-based Inference under missing data (RISE)

    Python 4

  6. Aalto-QuML/Diffusion_twigs Aalto-QuML/Diffusion_twigs Public

    [NeurIPS 2024] Diffusion Twigs with Loop Guidance for Conditional Graph Generation

    Python 3 1