Jennifer Tang
Ph.D. (MIT), M.S. (MIT), B.Eng. (Princeton)
Assistant Professor
Department of Electrical Engineering
Department of Electrical Engineering
Primary sphere of excellence in research
New Frontiers in Information and Communication Technologies
New Frontiers in Information and Communication Technologies
Secondary sphere(s) of excellence in research
Modeling and Artificial Intelligence
Modeling and Artificial Intelligence
Student research project(s)
Research interests and affiliations
Research interests
- Information Theory
- Data compression and quantization
- Prediction and estimation
- Machine learning applications
- Agent-based networks and opinion dynamics
Affiliation(s)
- Mila - Quebec Artificial Intelligence Institute, Associate member
Expertise type(s) (NSERC subjects)
- 2507 Communications systems
- 2700 INFORMATION TECHNOLOGY
Publications
Recent publications
Conference paper
Conference paper
Conference paper
Conference paper
Hu, C., & Tang, J. (2026, June). A model-driven lossless compression algorithm resistant to mismatch [Presentation]. In 2026 IEEE International Symposium on Information Theory (ISIT 2026), Guangzhou, China.
Adler, A., & Tang, J. (2026, July). Efficient mismatch-tolerant coding for model-driven compression [Poster]. 43rd International Conference on Machine Learning (ICML 2026), Seoul, South Korea.
Adler, A., & Tang, J. (2026, April). Synchronizing probabilities in model-driven lossless compression [Poster]. Fourteenth International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil (18 pages). 
Tang, J. (2025, June). Bounding the capacity of the multinomial channel using KL divergence covering and packing [Paper]. 2025 IEEE International Symposium on Information Theory (ISIT 2025), Ann Arbor, MI, USA (6 pages).
See all publications (19)
Biography
Before joining the Electrical Engineering Department at Polytechnique Montréal, Jennifer Tang was at the College of the Holy Cross in Worcester, Massachusetts, USA. She was previously a postdoctoral researcher at MIT, where she also earned her PhD in the Department of Electrical Engineering and Computer Science. Her research interests center around Information Theory, including its applications to machine learning and emerging data storage technologies.
Teaching
ELE6705 – Traitement numérique des signaux
Education
- Ph.D., Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT)
- M.S., Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT)
- B.Eng., Electrical Engineering , Princeton University
