Academic

Click on the animation to play Conway's Game of Life

Research Interests

I’m interested in designing neural network architectures for newer tasks and unseen datasets, exploiting various symmetries and invariances that exist in them. I am currently working on trying to model dynamic-FBA using neural ODE family of models. Life’s too short to not try and learn everything you possibly can. These days, however, I’m motivated by building novel (ML) algorithms and methodologies around HUGE data being generated in the multi-omics (genomics; transcriptomics; proteomics; metabolomics) to build biological deep-learning (world) models which will enable personalized treatments, and better understanding of life in general.

More specifically I’m interested in everything ML:

  • All things Dynamical/Generative AI (NeuralODEs/SDEs; Optimal-Transport; Flow/Diffusion Models)
  • Geometric-DL
  • Precision Medicine (in the context of drug target identification)
  • Reasoning Models
  • And more things

I am co-advised by Xiao Zhang and Pietro Lio.

Publications

2024

Predicting time-varying flux and balance in metabolic systems using structured neural-ODE processes Santanu Rathod, Pietro Lio, Xiao Zhang. ICLR-MLGenX 2025 Link to publication

2022

Predicting Treatment Adherence of Tuberculosis Patients at Scale
Mihir Kulkarni, Satvik Golechha, Rishi Raj, Jithin K. Sreedharan, Ankit Bhardwaj, Santanu Rathod, Bhavin Vadera, Jayakrishna Kurada, Sanjay Mattoo, Rajendra Joshi, Alpan Raval
Machine Learning for Health, pages 35–61, 2022.
Link to publication

2021

Global convergence using policy gradient methods for model-free Markovian jump linear quadratic control
Santanu Rathod, Manoj Bhadu, Abir De.
arXiv preprint arXiv:2111.15228, 2021.
Link to publication

On reducing the order of arm-passes bandit streaming algorithms under memory bottleneck
Santanu Rathod.
arXiv preprint arXiv:2112.06130, 2021.
Link to publication

Scheduling to Learn In An Unsupervised Online Streaming Model
Rahul Vaze, Santanu Rathod.
arXiv preprint arXiv:2112.01576, 2021.
Link to publication

Statistical Physics and Neuronal Weight Decay
Santanu Rathod.