The Biocomputing Research Lab

Image: Figures pertaining to research

Deeptanshu (Jay) Jha

Contact

  • Email: djha at mail dot sfsu dot edu
  • Research Staff Member, Department of Computer Science

Biography

I currently hold a research staff position with the Biocomputing and Media Research Lab at SFSU.

Research Interests

I am interested in multimodal big data, causal analysis, machine learning, natural language processing,social network analysis, and their applications to epidemiological and sociological modeling.

Publications

  • D. Jha and R. Singh, “Analysis of associations between emotions and activities of drug users and their addiction recovery tendencies from social media posts using structural equation modeling”, BMC Bioinformatics 21, no. 18 (2020): 1-38. (Corresponding author R. Singh) [PDF]
  • D. Jha and R. Singh, “SMARTS: the social media-based addiction recovery and intervention targeting server”, Bioinformatics, 2019. (Corresponding author R. Singh) [PDF]
  • P. Skums, A. Zelikovsky, R. Singh, W. Gussler, Z. Dimitrova, S. Knyazev, I Mandric, S. Ramachandran, D. Campo, D. Jha, L. Bunimovich, E. Costenbader, C. Sexton, S. O’Conor, G-L Xia, Y. Khudyakov, “QUENTIN: reconstruction of disease transmissions from viral quasispecies genomic data”, Bioinformatics, Vol. 34, (1), pp. 163-170, 2018 (Joint corresponding authors: P. Skums, A. Zelikovsky, Y. Khudyakov and R. Singh) [PDF]
  • R. Eshleman, D. Jha, and R. Singh, “Identifying Individuals Amenable to Drug Recovery Interventions through Computational Analysis of Addiction Content in Social Media”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 839-844, 2017 [PDF]
  • D. Jha, P. Skums, A. Zelikovsky, Y. Khudyakov, and R. Singh, “Modeling the Spread of HIV and HCV Infections Based on Identification and Characterization of High-Risk Communities Using Social Media”, International Symposium on Bioinformatics Research and Application (ISBRA) 2017, Lecture Notes in Computer Science, Vol. 10330, pp. 425-430, Springer, 2017 [PDF]

Software

  • SMARTS

    Social Media based drug Addiction Recovery intervention Targeting web Server
  • DUI

    Drug Use Insight
  • ASAP

    Addiciton Analysis and Stage Prediction
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