Francesca Zaffora Blando

Francesca Zaffora Blando serves as an Assistant Professor in the Department of Philosophy at Carnegie Mellon University's Dietrich College of Humanities and Social Sciences. Her academic profile bridges rigorous formal methods with foundational questions in epistemology and scientific methodology.

Her educational trajectory includes:

• Ph.D. in Philosophy and Symbolic Systems, Stanford University (2020)
• M.Sc. in Logic, Institute for Logic, Language and Computation, University of Amsterdam
• M.A. in Philosophy, University of Edinburgh

Zaffora Blando's research centers on algorithmic randomness—a computability-theoretic framework for patternless sequences—and its implications for inductive learning and Bayesian inference. She investigates how algorithmically random data streams constrain the learning performance of computationally bounded agents, revealing deep connections between randomness, convergence to truth, and probabilistic reasoning. Her work spans modal logic applications in dynamic epistemic scenarios and historical analyses of probability theory from von Mises to contemporary formalizations.

Her publication record (2015-2025) demonstrates sustained innovation at the intersection of computability and epistemology, with increasing focus on Schnorr randomness, Bayesian consistency, and learning-theoretic characterizations. Key themes include the role of randomness in merging opinions, disintegration of measures, and historical evolution of randomness concepts.

She actively contributes to the Center for Formal Epistemology through event organization including the Pittsburgh Formal Epistemology Workshop (PFEW), the September 2024 Workshop on Chance, Credence, Computation, and Progic 2025—the Twelfth Workshop on Combining Probability and Logic with special focus on theoretical learning approaches.