Achyudhan Kutuva

I am a second-year PhD student in the Joint Carnegie Mellon-University of Pittsburgh PhD Program in Computational Biology (CPCB), co-advised by Dr. James Faeder and Dr. William Hawse.

My research focus is on advancing multiscale systems immunology through the lens of formal modeling and predictive inference. I develop computational frameworks to decode the complex regulatory programs governing T-cell plasticity and pathogenicity, bridging the gap between high-dimensional ‘omics’ data and mechanistic understanding.

Research Interests

• Multiscale Systems Immunology: Integrating single-cell multi-omics and in-vivo proteomics to unravel the rewired regulatory modules driving Th17 pathogenicity and CD4+ memory differentiation.
• Formal Tooling for Rule-Based Systems: Expanding the BioNetGen ecosystem through the development of BNGPlayground and the establishment of formal semantics for BNGL to enable modular, whole-cell modeling.
• Predictive Inference & Experimental Design: Leveraging Optimal Experimental Design (OED) and robust Bayesian calibration to maximize the information gain and predictive power of large-scale biochemical models.