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About me

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I am a PhD student in Computer Science Department at Colorado State University (CSU), doing research on Machine Learning under the guidance of Prof. Michael Kirby. I am interested in developing new algorithms using geometric approaches to solve problems. My Research Gate page Tomojit Ghosh on ResearchGate


Currently I'm working as a GRA in PAL (Pattern Analysis Lab) under the supervision of Prof. Michael Kirby. We are working on two projects, Prometheus and THoR funded by DARPA.

Broadly, I'm intersted in Machine Learning, Artificial Intelligence, Linear Algebra, Linear and Nonlinear Programming, Geometric Data Analysis.


  • T. Ghosh and M. Kirby and X. Ma
    Sparse skew radial basis functions for time-series prediction
    Proceedings International Work Conference on Time Series Analysis, University of Granada, Spain, 2016, pp.296-307

  • Chaturvedi, Mmanu and Tomojit Ghosh and Michael Kirby and Xiaoyu Liu and Xiaofeng Ma and Shannon Stiverson
    Explorations in Very Early Prognosis of the Human Immune Response to Influenza
    Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM 2016, pp.562-570

  • X. Ma and T. Ghosh and M. Kirby
    A sequential simplex algorithm for automatic data and center selecting radial basis functions
    2017 International Joint Conference on Neural Networks (IJCNN), Springer International Publishing 2017, pp.549-556, url=""

  • Ghosh, Tomojit and Kirby, Michael and Ma, Xiaofeng
    Dantzig-Selector Radial Basis Function Learning with Nonconvex Refinement
    Advances in Time Series Analysis and Forecasting: Selected Contributions from ITISE 2016, Springer International Publishing 2017, pp.313-327, isbn="978-3-319-55789-2, url=""

  • Ghosh, Tomojit and Kirby, Michael and Ma, Xiaofeng
    New Tools for the Visualization of Biological Pathways
    Method, Elsevier, 15-SEP-2017, ISSN: 1046-2023, url=""

  • Tomojit Ghosh and Michael Kirby
    Supervised Dimensionality Reduction and Visualization using Centroid-encoder
    arXiv e-print, 28-Feb-2020, url=""



The 7th ACM Conference on Bioinformatics (2016), Computational Biology, and Health Informatics (ACM BCB), Seattle. Poster presentation: Biomarker Discovery via Nonlinear Function Approximation.

The 3rd Annual Meeting of SIAM Central States Section (2017), CSU, Fort Collins, CO. Talk: Centroid-Encoder Neural Networks for Data Visualization and Classification.


Worked as a teaching assistant (TA) on the subjects: CS155/56/57 (Unix, C and Advanced C), CS253 (Programming with C++), CS545 (Machine Learning)


ACM BigLS 2016 Travel Award.

Contact Information

Colorado State University
Department of Computer Science
1100 Center Avenue Mall, Room 242
1873 Campus Delivery
Fort Collins, CO 80523-1873