Welcome

I am an Assistant Professor of Computer Science at the University of Massachusetts Lowell. My work lies at the intersection of data-intensive research, scientific visualization, and interactive systems, with applications in brain science, health, and biomedical research.

In addition to my research program, I lead and sustain research platforms, workflows, and collaborative environments that support interdisciplinary teams and funded research within research-intensive universities. My work emphasizes interpretability, reproducibility, and long-term operational sustainability of research systems.

My research program is organized around three complementary areas:

  1. Computational Solutions — Data modeling, algorithms, and scalable analysis for biomedical data
  2. Scientific Visualization — Visual analytics for multi-modal and multi-dimensional data
  3. Interactive Systems — Interfaces that support multi-scale exploration and decision-making

These components interact to advance knowledge in computer science, brain science, and health, driving new discoveries through interdisciplinary collaboration. Research themes include neuroimaging machine learning, computational biology for drug discovery, and interactive visualization tools.

Areas of Specialization

  • Data Science, Applied AI, and Core Computer Science Education
    Python, data structures, machine learning, applied AI, data visualization, biomedical informatics, and computational biology
  • Applied Machine Learning for Medical Imaging
    MRI, fMRI, diffusion MRI (dMRI); white-matter microstructure and axonal modeling
  • Biomedical Informatics
    Integration of clinical, imaging, and omics data for translational analytics
  • Computational Biology and AI for Drug Discovery
    Molecular-dynamics–derived binding pockets and generative design using generative adversarial networks (GANs)
  • Visual Analytics and Scientific Visualization
    Interactive neuroimaging interfaces; tractography visualization; perceptually guided color and selection design

Education

I completed my Ph.D. and Sc.M. in the Computer Science Department at Brown University, where I was advised by Professor David H. Laidlaw. I received a B.S. degree (with high distinction) in Computer Science from University of Nebraska–Lincoln.

At a Glance

  • 13 years of teaching experience; 9 years at UMass Lowell
  • Teaching Excellence Award; Open Educational Resources (OER) Mini-Grant recipient
  • Lead, Biomedical Computing and Visualization Laboratory (founded 2016)
  • Advisor to 9 Ph.D. students, 3 Master’s theses, and 10+ undergraduate research projects
  • Research spans applied machine learning, biomedical informatics, computational biology, and visual analytics

Research Administration Systems

I work closely with institutional partners on research and academic systems that support collaboration, reporting, and compliance-aligned workflows. I am familiar with enterprise research administration systems and the importance of integrated data, clear governance, and reliable operational support across the research lifecycle.