Rudramani Singha

I am a Data Scientist at the Program in Memory Longevity, UTSW. I build probabilistic models to understand the brain.

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Selected Work
Asymmetric Social Representations in the Prefrontal Cortex for Cooperative Behavior Asymmetric Social Representations in the Prefrontal Cortex for Cooperative Behavior

Yuan Cheng, Yusi Chen, Myungji Kwak, Ross P. Kempner, Rudramani Singha, Jared Winslow, Runqi Liu, Umais Khan, Tessa Spangler, Alvi Khan, Talmo Pereira, Matthew Whiteway, Evan S. Schaffer, Nuttida Rungratsameetaweemana, Nan Yang, Herbert Zheng Wu

links: [bioRxiv] [code]

We introduce a mouse paradigm to study cooperative behavior where stable leader-follower roles emerge during joint foraging. Using calcium imaging and optogenetic disruption, the study shows medial prefrontal cortex representations are role-specific and critical for cooperation. I developed the forward-modeling framework paired with multi-agent inverse reinforcement learning to decode latent value functions driving cooperative decisions.

Bayesian Modeling Tutorial Scaling Up Bayesian Models: Regressions, Mixtures, HMMs, and GLM-HMMs

Rudramani Singha

links: [website] [code]

This tutorial starts with intuitive Bayesian updates and builds to Hidden Markov Models and related latent-variable methods. It includes GLMs, input-driven Gaussian mixture models, and GLM-HMMs with comparisons between MCMC and EM estimation. Implementations cover PyMC, Stan, NumPyro, JAX, and Dynamax.


© 2026 Rudramani Singha