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vishnubk/README.md

Vishnu Balakrishnan

Postdoctoral Researcher · Harvard University, Boston, USA

Radio transients · Algorithms · Distributed Computing · Machine Learning

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I build GPU-accelerated search pipelines and machine learning tools to find new Pulsars and FRBs.

Current Research

  • CASM (Coherent All-Sky Monitor): Developing software for beamforming, transient searching, and machine learning–based candidate selection for the CASM array at OVRO, designed to detect nearby FRBs.

Previous Work @ Max Planck Institute for Radio Astronomy, Bonn, Germany

  • COMPACT: Postdoctoral researcher in COMPACT, where I designed a distributed pulsar search engine coordinating multiple HPC clusters worldwide using Kafka for real-time binary pulsar searches.
    • Code: one_ring
    • ASGARD: ASGARD is a Nextflow pipeline developed for the COMPACT project to process MeerKAT baseband data from raw SPEAD packets to dedispersed, beamformed, and folded pulsar data products.

Pulsar Search Contributions

  • Peasoup: One of the main contributors to peasoup, a GPU-accelerated pulsar search package supporting acceleration searches and template-bank searches for both circular and elliptical binary orbits.

Machine Learning

Languages and Tools

Python · SQL · CUDA/C++ · Bash · Docker · Kafka · Kubernetes · Scikit-learn · TensorFlow

Pinned Loading

  1. 3D_peasoup 3D_peasoup Public

    C++/CUDA GPU pulsar searching library that can search coherently for circular binary orbits

    C++ 1

  2. ml_tutorial_pulsars ml_tutorial_pulsars Public

    Tutorial On Introduction to Machine Learning for Pulsar Candidate Identification

    Jupyter Notebook 1

  3. sap4pulsars/pics_ai sap4pulsars/pics_ai Public

    Dockerfile for PICS (Pulsar Image-based Classification System) AI based on W. W. Zhu et al. 2014.

    2 3

  4. peasoup-docker peasoup-docker Public

    Dockerfile