PhD Student @ USC SAND Lab | Founder @ FairQuanta | Computational Models of Mind & Behavior
I'm a PhD student at the University of Southern California's SAND Lab, where I study behavior and computational models of personality using deep learning. My work sits at the intersection of AI, cognitive science, and human-centered design—driven by a core question: how can we build systems that truly understand human behavior?
This question has guided my journey from studying linguistics and brain science to founding FairQuanta, a research lab and human-centered design startup focused on context and human factors engineering.
My research trajectory has followed a consistent thread: understanding the computational principles underlying human cognition and personality.
It began with dual degrees in Computer Science + Linguistics and Brain & Cognitive Science at UIUC, where I first encountered the power of combining computational methods with cognitive theory. A Master's in Psychological Science (with a Statistics minor) deepened my quantitative toolkit. Now, as a PhD student at USC, I'm developing deep learning approaches to model personality and behavior at scale.
Along the way, I co-founded the ByCog Research Group to explore Computational Psychodynamics—modeling personality through active inference. This work, combined with my contributions to the Active Inference Institute and Learning Language Lab, laid the foundation for FairQuanta: a venture dedicated to applying these insights to real-world human-centered systems.
FairQuanta — Founder & Research Lead Human-centered design startup and research lab focused on context and human factors engineering. We bridge computational models of cognition with practical system design.
USC SAND Lab — PhD Researcher Developing deep learning models of personality and behavior under the supervision of leading researchers in computational social science.
ByCog Research Group — Co-Founder Pioneering Computational Psychodynamics: process-based approaches to modeling cognition and personality using active inference.
Active Inference Institute — Researcher Building frameworks for interpreting human behavior and cognition through the lens of active inference.
- OpenPolitica — CEO & AI/ML Team Lead | Fostering democratic participation through AI-driven civic tools
- UniversumX — Project Manager & ML Developer | Multi-university initiative (UIUC, UCLA, USC) developing deep learning models of perception with BCIs for AI alignment
- Learning Language Lab — Researcher | Exploring linguistic and visual cognition
Research Methods: Bayesian Statistics, Statistical Learning, Mathematical Statistics, Regression Analysis, Deep Learning, Active Inference
Languages: Python, C++, Java, C#, R, C, PHP, SQL, JavaScript
ML/AI Stack: PyTorch, scikit-learn, HuggingFace Transformers, OpenAI API, LangChain, ChromaDB, NLTK, SpaCy
Tools: Git, Docker, Jupyter, Mathematica, Unity3D
- Senthil, A. (In preparation) Computational Psychodynamics: Process-Based Approach to Modeling Cognition and Personality Using Active Inference
- Senthil, A. (2023) Computational Psychodynamics: Process-based approach to modeling personality [Poster presentation]
Outside of research, I enjoy reading AI papers, watching TV shows, and mentoring future AI enthusiasts.