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Faculty Affiliates

Join the UTSA School of Data Science community, where data science and AI drive impactful research and enrich student experiences. Our team of over 30 Core Faculty members collaborates on diverse, interdisciplinary projects spanning various fields. We invite you to engage with us as a Faculty Affiliate and become part of an innovative network dedicated to advancing knowledge and solving complex challenges through data science and AI.

Faculty Affiliates

David Han, Ph.D.

David Han, Ph.D.

Associate Professor

  • Areas of Teaching: Data science and analytics, Probability and statistics, Statistical inference, Applied statistics, Business statistics, Engineering statistics, Biostatistics, Survival analysis, and Statistical quality management
  • Areas of Research: Operations research, Reliability engineering, Lifetime and degradation analyses, Predictive maintenance, Biostatistics, Survival analysis

Kirsten Hanson, Ph.D.

Kirsten Hanson, Ph.D.

Assistant Professor

  • Areas of Teaching: Parasitology, Data Analysis and Visualization for Biologists
  • Areas of Research: Antimalarial drug discovery, Automated high content imaging, Host-parasite interactions, Plasmodium cell and developmental biology
  • Lab Website
  • National Center for Biotechnology Information

Melissa Manus

Melissa Manus

Assistant Professor of Anthropology

Areas of teaching: human evolution; evolutionary medicine; microbiome methods and applications

Areas of research: human microbiome; impact of early life environments on health; human evolutionary biology; global health

Jose Morales

Jose Morales

Assistant Professor, Departments of Mathematics & Physics and Astronomy

Areas of Teaching: Quantum Mechanics, Quantum Information, Statistical Mechanics, Differential Equations, Calculus

Areas of Research: Computational Methods (DG, Finite Elements, Monte Carlo, Physics-Informed-Neural-Networks, etc.) for Kinetic Theory of Quantum and Semi-classical problems, with applications to semiconductor physics and open quantum systems.

Melissa Manus

Lesly Neely

Associate Professor of Educational Psychology; Associate Director of Brain Health Consortium

Areas of teaching: Behavior Assessment, Advanced Single-case Research, Behavior Analysis

Areas of research: Integration of AI and IoT technologies to healthcare for neurodiverse patients

Chen Pan

Chen Pan

Assistant Professor

Areas of teaching: Computer Engineering, Electrical Engineering, and AI

Areas of research: Sustainable and Intelligent Air-ground IoT Systems, Tiny Machine Learning for embedded IoT devices, Intelligent Sparse Sensing for Low-power IoT devices , Transient Computing and Communication for Self-powered IoT Systems, and Emerging Non-volatile Memory Design and Optimization

David Silva, Ph.D.

David Silva, Ph.D.

Distinguished Professor

  • Areas of Teaching: Introductory relativity and quantum physics, Stars and stellar systems
  • Areas of Research: Extragalactic stellar populations, Milky Way structure, Topological data analysis, Astronomical optical-infrared observatories
  • Professional Webpage
  • David Silva on Google Scholar

Melissa Manus

Ian Thacker

Assistant Professor, Department of Educational Psychology

Areas of teaching: Research Methods and Statistics, Learning Theories, Motivation Theories

Areas of research: STEM Teaching, Learning, and Teacher Education; Conceptual Change; Motivation; Integrated STEM Education; Learning Technology; Quantitative Methods; Design Based Research; Implicit Bias in STEM Education

Jeffrey Vedanayagam

Jeffrey Vedanayagam

Assistant Professor

Areas of Teaching: Genomics and Bioinformatics

Areas of Research: Biological data analysis, Selfish genetic elements and genetic conflicts in the male germline

Melissa Manus

Mimi Xie

Assistant Professor

Areas of Teaching: Operating System, Embedded System, Computer Organization

Areas of Research: Embedded System, AI on IoT

Jin Yufang, Ph.D.

Jin Yufang

Professor

Areas of teaching: Autonomous Control and Modeling

Areas of research: Applications of AI in networked systems, Intelligent Systems

Dakai Zhu

Dakia Zhu

Professor of Computer Science

Areas of Teaching: Operating Systems, Embedded Systems, and Programming

Areas of Research: Real-Time Embedded Systems, Internet of Things (IoTs), Cloud Computing, and Smart Health Systems