Jenny Weisenberg Williams

MS, Computer Science (Rensselaer Polytechnic Institute) BA, Mathematics (Barnard College)

Jenny Williams is a computer scientist in the AI technology discipline at GE Research in Niskayuna, NY.  She earned an M.S. in Computer Science from Rensselaer Polytechnic Institute (RPI) and a B.A. in Mathematics from Barnard College.  

With 19 years of experience at GE Research, Jenny has expertise in semantic technologies for linked data, as well as scalable computing using Big Data technologies. In recent years she has worked at the intersection of Big Data and Semantic Web technologies to enable more effective querying and management of large-scale gas turbine test data.

Publications
  1. Kumar, V.S., Williams, J.W., Aggour, K.S., Sarachan, B., Al-Kofahi, Y. and Santamaria-Pang, A., 2015. Collaborative Analysis of High-Content Image Data. In NIST BioImage Informatics Conference.
  2. Cuddihy, P., McHugh, J., Williams, J.W., Mulwad, V. and Aggour, K., SemTK: A Semantics Toolkit for User-friendly SPARQL Generation and Semantic Data Management.
  3. Williams, J.W., Cuddihy, P., McHugh, J., Aggour, K.S., Menon, A., Gustafson, S.M. and Healy, T., 2015, October. Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability. In Big Data (Big Data), 2015 IEEE International Conference on (pp. 1103-1112). IEEE.
  4. Cuddihy, P., McHugh, J., Williams, J.W., Mulwad, V. and Aggour, K.S., 2017. SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs. arXiv preprint arXiv:1710.11531.
  5. Williams, J.W., Aggour, K.S., Interrante, J., McHugh, J. and Pool, E., 2014, October. Bridging high velocity and high volume industrial big data through distributed in-memory storage & analytics. In 2014 IEEE International Conference on Big Data (Big Data) (pp. 932-941). IEEE.
  6. Aggour, K.S., Williams, J.W., McHugh, J. and Kumar, V.S., 2017. Colt: concept lineage tool for data flow metadata capture and analysis. Proceedings of the VLDB Endowment, 10(12), pp.1790-1801.
  7. McHugh, J., Cuddihy, P.E., Williams, J.W., Aggour, K.S., Kumar, V.S. and Mulwad, V., 2017, December. Integrated Access to Big Data Polystores through a Knowledge-driven Framework. In Big Data (Big Data), 2017 IEEE International Conference on (pp. 1494-1503). IEEE.

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