Mark Kon

Mark Kon is a Professor at Boston University's College of Arts & Sciences, affiliated with the Department of Mathematics and Statistics. He is a core member of the Applied Mathematics and Probability and Statistics research groups. His office is located in CDS 523, with office hours on Tuesdays 11-12:15 PM and Thursdays 2-3:15 PM.

Professor Kon's research focuses on interdisciplinary applications of mathematics and statistics, including machine learning, quantum computing, biomedical informatics, and statistical analysis. He integrates computational methods with biological systems to address challenges in genetics, cancer classification, and medical data analysis. His work bridges theoretical foundations (e.g., stochastic processes, functional analysis) with applied domains such as medical imaging and genomics.

In machine learning, he develops robust algorithms for feature selection, anomaly detection, and network analysis. His contributions to quantum systems include studies of quantum walks and their continuum limits. In biomedical research, he applies spectral methods and data imputation techniques to improve diagnostic tools like infrared spectral histopathology for lung cancer classification.

Recent trends in his publications emphasize multilevel optimization for medical data, stochastic analysis of complex systems, and uncovering genetic interactions via machine learning. His work often combines mathematical rigor with real-world applications in health informatics and computational biology.

Notably, Kon has pioneered methods like BowSaw for inferring biological trait interactions and the Coupled VAE architecture for improved generative models. His research also addresses opioid cessation analysis and cancer survival prediction through integrated data approaches.

While no specific grants or advising records are detailed here, his extensive publication record reflects a collaborative approach across mathematics, computer science, and life sciences.