معرفی
Dr. Kenneth Soda, Jr. serves as Assistant Professor of Mathematics and Data Science at Quinnipiac University's College of Arts & Sciences, where he has taught since 2019. His academic journey spans biology, computational science, and data applications.
Education background:
- B.S. in Biology, Western Washington University (2009)
- M.A. in Biology, SUNY Stony Brook (2011)
- M.S. and Ph.D. in Computational Science, Florida State University
- Post-Doctoral Researcher, University of Notre Dame (2017-2019)
His research integrates data science with biological applications, specializing in geometric morphometrics (statistical analysis of biological shapes) and disease modeling. Current projects examine ecological community structures through Euclidean process distances and pandemic response frameworks. As moderator of the international Morphmet listserv, he facilitates global collaboration in morphometric research.
Recent publications demonstrate methodological innovation across epidemiology and ecology, with 2020-2025 works combining serological data, agent-based modeling, and spatial statistics to address vector-borne diseases and pandemic management. His work bridges theoretical computation with real-world public health challenges.
Teaching leadership: He designs curriculum for Quinnipiac's Data Science Program and teaches courses including DS 110 (Introduction to Data Science), DS 310 (Algorithms for Data Science), and MA 285 (Applied Statistics), emphasizing career-relevant computational and statistical skills.
