My Publications

Research (first author)

  • Solving radiative transfer using multi-agent deep reinforcement learning (in prep)
    Accelerating the fundamental numerical operations responsible for simulating the interaction between radiation and matter using reinforcement learning.

  • Locating the boundaries of flare prediction with transformers (in press)
    I use a hybrid transformer architecture with autoregressive denoising to prove that despite the effort in procuring sequence data for the task of flare prediction, information along the time domain contributes only a small fraction to the model’s overall TSS.

  • Identifying pre-flare spectral features using explainable AI. 2023, A&A, 671, A73
    Used explainable AI to derive physical explanations for high classification scores obtained by convolutional networks on spectrograms (a type of audio signal that encodes the physics of the solar atmosphere). Found early warning signals for solar flares.

  • Exploring mutual information between IRIS spectral lines. I. 2021, ApJ, 912, 121
    Used a VAE to dynamically filter data based on reconstruction error, before calculating all non-linear dependancies within the data using a Mutual Information Neural Estimator. The Sun's atmospheric layers communicate most efficiently over regions of enhanced energy deposition.

  • Exploring mutual information between IRIS spectral lines. II. 2021, ApJ, 915, 77
    Used clustering techniques and self-organizing maps to solve the traveling salesman problem in-order to derive conditional probabilities between spectral lines form NASA's IRIS satellite

  • Real-time flare prediction based on spectra, 2020, ApJ, 891, 17
    First time proof that spectral data can be used to predict solar flares in combination with deep learning and low-dimensional embeddings.

  • Identifying typical Mg II spectra using machine learning, 2018, ApJ, 861, 62
    Used unsupervised clustering methods to tractably analyze millions of spectra. Identified universal flaring profiles.

Research (co-author)

  • Automatic detection of coronal rain using CycleGAN (in prep)
  • A comparison of active region upflow and core properties, 2021, A&A, 651, A112
  • Information bottleneck in extremely distributed systems, 2020, Entropy, 11, 22
  • DCT-tensor-net for solar flares detection on IRIS data, 2018, EUVIP
  • Occurrence and statistics of IRIS bursts, 2022, A&A, 657, A132
Illustration of mutual information neural estimator architecture applied to IRIS spectra

Presenting my research at the international joint Hinode-15 / IRIS-12 meeting held in Prague, Czech Republic, during September 19-23, 2022 on AI-assisted explanations of physics-driven systems. I have given talks all over Europe, India, and the USA.