General Kenobi~ ...Oh, My bad, wrong galaxy.
In this galaxy, I am ShivaSankar, a PhD student at Hokkaido University, Japan doing research in the intersections of Theoretical particle physics, Cosmology, Astrophysics and deep learning.
Briefly, my main research directions include:
- Neutrinos, Dark matter and New physics beyond Standard model.
- Black hole physics, Supernovas, Blazars, AGNs and other astrophysical objects.
- Physics of deep learning & Interpretability.
I work on a variety of topics because I genuinely believe interdisciplinary research is key to unlocking the mysteries of the universe (or the multiverse if you’re from that gang). It’s fun to connect the dots. To find physics where no one thought to look. To move concepts across fields and see what breaks or what beautifully unifies.
To be concious and have the ability the admire the inner workings of this beautiful universe at every level is a true blessing and I hope to embrace it every day of my life.
I love coding (I used to hate it though, I underwent a phase transition somewhere along the way lol).
I especially enjoy automating tasks and building things that make life easier. I find pleasure in creating tools and applications that can positively impact others lives. Sometimes I code to build useful tools. Sometimes I code just for the kick of figuring something out. There’s something deeply satisfying about transforming a thought into something executable, something real.
My hobby in short is just learning :)
I love learning new skills and learning new knowledge and inevitably connecting the dots. Therefore I have too many hobbies to list down here. Some of the recent ones include,
- Language learning
- Cubing
- Piano
- Photography
- Cinematography
- 弓道 (Japanese archery)
- 書道 (Calligraphy)
...and the list goes on.
I’m currently splitting my time between research and building projects in Mojo, while also gradually stepping into Rust. I use python, C, C++ extensively in my research. So I spend my other times learning Mojo and Rust.
- NuMojo - A numerical computing library written in native Mojo inspired by NumPy. The power of numpy, the ease of pytorch.
- SciJo - A scientific computation library providing higher-level functionality inspired by SciPy.
- HEPJo - HEPJo is a math library for doing data analysis and computations in High Energy Physics a.k.a Particle Physics.
- mojoBLAS - Porting BLAS routines from Fortran to pure Mojo (CPU, GPU) to serve as a backend for NuMojo.
- ML Algorithms - Implementing ML algorithms with NuMojo to learn the fundamental of ML algorithms and improve NuMojo library.
- 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.
I’m also working on a few Rust 🦀 projects. I plan to go deeper into Rust in 2026 and what better way to learn than by building a real useful project! I also hope to get my hands dirty again with embedded systems this year. I used to love tinkering with microcontrollers and such as a kid, and I’ve been meaning to return to it, especially now that I can afford the hardware with the adult money and childish curiosity xD.
💬 If you would like to talk with me about Physics, Life, Coding, or literally anything at all, feel free to drop me a message at my email. Feel free to check my webpage, my Research profile (my research papers) or Instagram (my photography, videography works) at,