Skip to content
View shivasankarka's full-sized avatar
:shipit:
Focusing
:shipit:
Focusing

Highlights

  • Pro

Block or report shivasankarka

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
shivasankarka/README.md

Hello there ๐Ÿ‘‹

I am ShivaSankar, a PhD student at Hokkaido University, Japan doing research in intersections of Theoretical particle physics, Cosmology and Astrophysics.

๐Ÿ”ฌ My main topics of research include:

  • Neutrinos, Dark matter, Other new physics beyond Standard model
  • Black hole physics, Supernovas, Gravitational wave physics
  • Deep reinforcement learning

I love coding, especially automating tasks and building solutions that make life easier. What truly drives me is creating tools and applications that can positively impact others' lives. I'm particularly passionate about Deep Reinforcement Learning and am currently working on projects in this topic and learning it. There's something deeply satisfying about transforming ideas into practical solutions that solve real-world problems

My hobby in short is learning, I love learning new skills and learning new knowledge and connecting the dots. Therefore I have too many hobbies to list down here, some of the recent ones include, Cubing, Coding, Piano, Photography & Cinematography, Language learning etc.

๐Ÿ”ญ Currently I am splitting my time working on the following coding projects and learning the Mojo Programming language,

  • NuMojo - NuMojo is a numerics library written in native Mojo in the likes of NumPy, SciPy from Python.
  • HEPJo - HEPJo is a math library for doing data analysis and computations in High Energy Physics a.k.a Particle Physics.
  • DRL: Tic Tac Toe through MCTS - Exploring reinforcement and deep learning through projects like training an MCTS-driven neural network to master Tic-Tac-Toe inspired by AlphaZero.
  • ML Algorithms - Implementing ML algorithms with NuMojo to learn the fundamental of ML algorithsm and improve NuMojo library.

๐Ÿ’ฌ If you would like to talk to me about anything, please drop me a message at my email. Feel free to check my webpage and my Research profile at,

Research

MIT

Pinned Loading

  1. HEPJo HEPJo Public

    HEPJo is a high-performance library for numerical computations in particle physics, written in Mojo ๐Ÿ”ฅ similar to Scikit-HEP in Python.

    Mojo 6 1

  2. NuMojo NuMojo Public

    Forked from Mojo-Numerics-and-Algorithms-group/NuMojo

    A numerics library for the Mojo programming language

    Mojo 1

  3. Tenka Tenka Public

    A package manager for Mojo programming language written in python.

    Python 5

  4. PICS PICS Public

    Python code to calculate the attenuated neutrino flux due to NP

    Mathematica

  5. NuMojo-Examples-and-Benchmarks NuMojo-Examples-and-Benchmarks Public

    Forked from Mojo-Numerics-and-Algorithms-group/NuMojo-Examples-and-Benchmarks

    This repository contains examples, benchmarks for the implementations present in main branch of the NuMojo Library

    Jupyter Notebook

  6. MLAlgorithms MLAlgorithms Public

    Implementation of Machine learning algorithms using NuMojo

    Mojo 1