The mentors below have committed to participating in the 2025 summer session of DIAMONDS. Other mentors may join as time and funding permits.
Lenore Cowen
Professor of Computer Science
Research areas: computational biology, algorithms
Select publications with undergraduate co-authors:
- K. Devkota, H. Schmidt*, M. Werenski, J. M. Murphy, M. Erden, V. Arsenescu, and L. J.
Cowen. GLIDER: Function prediction from GLIDE-based neigborhoods. In Bioinformatics, 2022. - M. Erden, M., K. Devkota, K., L. Varghese*, L. Cowen, L. and R. Singh. Learning a CoNCISE language for small-molecule binding. To appear at RECOMB 2025.
- S. Sledzieski, C. Versavel, R. Singh, F. Ocitti, et al. 2025. Decoding the Functional Interactome of Non-Model Organisms with PHIL HARMONIC. To appear at RECOMB 2025.
Remco Chang
Professor of Computer Science
Research: visual analytics, databases, human-computer interaction
- E. W. He*, D. Tolessa*, A. Suh, and R. Chang. Analysis without data: Teaching students to tackle the vast challenge. In IEEE Workshop on Visualization Guidelines in Research, Design, and Education (VisGuides), 2022.
Soha Hassoun
Professor of Computer Science
Research areas: systems biology, machine learning
- G. M. Visani*, M. C. Hughes, and S. Hassoun. Enzyme promiscuity prediction using hierarchy-
informed multi-label classification. In Bioinformatics, 2021.
Dan Votipka
Assistant Professor of Computer Science
Research areas: computer security, data privacy
- J. Mattei, M. McLaughlin*, S. Katcher, and D. Votipka. A qualitative evaluation of reverse
engineering tool usability. In Proceedings of the 38th Annual Computer Security Applications
Conference, 2022.
Michael Hughes (“Mike”)
Assistant Professor of Computer Science
Research areas: machine learning, healthcare
- K. Heuton, J. Kapoor*, S. Shrestha, T. Stopka, and M. C. Hughes. Spatiotemporal Forecasting of Opioid-related Fatal Overdoses: Towards Best Practices for Modeling and Evaluation. To appear in American Journal of Epidemiology, 2024.
- Z. Huang, M. J. Sidhom*, B. Wessler, and M. C. Hughes. Fix-a-Step: Semi-supervised
learning from uncurated unlabeled data. In International Conference on Artificial Intelligence and Statistics (AISTATS), 2023. - Z. Huang, L. Wang, G. Blaney, C. Slaughter*, D. McKeon, Z. Zhou, R. Jacob, M. C. Hughes. The Tufts fNIRS Mental Workload Dataset & Benchmark for Brain-Computer Interfaces that Generalize. In Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS), 2021.
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