CV

Education

• Postdoc Stanford University, 2023
• Ph.D Dalhousie University, Vector Institute, University of Toronto 2022

Work experience

• Summer 2008: Statistical Intern Analyst
  • Sepahan Data Mining Company
  • Duties included: Interpreting patterns of data, determining analysis parameters, processing data, analyzing data and creating visualizations for data interpretation.
• Fall 2009-2012: Teaching Assistant
  • Department of Mathematics and Computer Science, Amir Kabir University
  • Duties included: Preparing and Delivering lectures; Courses: Linear Algebra course, Data Structure
• Fall 2015: Teaching Assistant
  • Department of Mathematics and Computer Science, Sharif University
  • Duties included: Preparing and Delivering lectures; Courses: Design and Analysis of Algorithms, Cloud Computing, Software Development, Serverless Data Processing, PPL, Graph Theory, Deep Learning, Natural Language Processing, Data Structures & Algorithms.
• Fall 2017: Research Assistant
  • Noavar Research Company
  • Duties included: improving measurements for the service identification, and service-oriented architecture.
• Fall 2018: Research Assistant
  • Dalhousie University, Canada
  • My research is in the field of Machine learning, Algorithms, NLP, and Data Mining on Wikisim project, using Deep ML algorithms for problems of Word Sense Disambiguation and Wikification. We perform message-passing of Network Coding through a graph neural network representation of the Knowledge Base, using different embeddings and Large Language Models.
  • Supervisor: Evangelos Milios, and Norbert Zeh
• Fall 2021: Applied Machine Learning intern
  • Vector Institute for AI, Toronto
  • was an applied machine learning intern. Our project was developing and enhancing a recommendation system working with the Reddit dataset. Later, we used the GitHub dataset as well to train our models. In our model, we used large language models to enhance the performance of the representations.
  • Supervisor: Ron Bodkin
• Spring-Winter 2022: Research and Teaching Assistant
  • University of Toronto, UHN, and Vector Institute

  • I have been a research and teaching assistance for the course of “Clinicians Champions in AI”, and also a teaching assistant for the course of “NRCan AI Fundamentals”. My roles include developing course materials and delivering the content to participant, and supervising the projects.

  • Team: Devin Singh, Sedef Kocak, Saman Doroodgar, Flora Wan.
• Fall 2023: Postdoctoral Research Scientist
  • Stanford University, Palo Alto, California
  • My research focuses on applying natural language processing and deep learning generative models to analyze textual and image data alongside gene expression information. The models we work with in our projects include inverse reinforcement learning, self-improvement, world models, and meta-learning.
  • Supervisor: Barbara Engelhardt

• Certification: Machine Learning Summer School (OxML), Oxford University. • Certification: Intro to Python for Data Science at DataCamp. • Certification: Machine Learning Summer School, Skoltech, Moscow. • Certification: Bias in AI course, Vector Institute.

Skills

• Programming Languages
  • Java
  • Maple
  • Matlab
  • Mathematica
  • C
  • C++
  • Python
  • QT
  • Shell and bash scripting

Publications

Categorizing online harassment on Twitter

Saeidi, Mozhgan and da S. Sousa, Samuel Bruno and Milios, Evangelos and Zeh, Norbert and Berton, Lilian. (2019). "Categorizing online harassment on Twitter." Booktitle: Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, W{\"u}rzburg, Germany, September 16--20, 2019, Proceedings, Part II. pages={283--297}, year={2020}, organization={Springer} Journal 1. 1(1).

Table of contents detection in financial documents

Kosmajac, Dijana and Saeidi, Mozhgan and Taylor, Stacey. (2020). "Table of contents detection in financial documents." booktitle={Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation}, pages={169--173}, year={2020} Journal 1. 1(2).

Graph representation learning in document wikification

Saeidi, Mozhgan and Milios, Evangelos and Zeh, Norbert. (2021). " booktitle={Document Analysis and Recognition--ICDAR 2021 Workshops: Lausanne, Switzerland, September 5--10, 2021, Proceedings, Part II 16}, pages={509--524}, year={2021}, organization={Springer} Journal 1. 1(3).

Contextualized knowledge base sense embeddings in word sense disambiguation

Saeidi, Mozhgan and Milios, Evangelos and Zeh, Norbert. (2021). " booktitle={Document Analysis and Recognition--ICDAR 2021 Workshops: Lausanne, Switzerland, September 5--10, 2021, Proceedings, Part II 16}, pages={174--186}, year={2021}, organization={Springer} Journal 1. 1(3).

Graph Convolutional Networks for Categorizing Online Harassment on Twitter

Saeidi, Mozhgan and Milios, Evangelos and Zeh, Norbert. (2021). " booktitle={2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)}, pages={946--951}, year={2021}, organization={IEEE} Journal 1. 1(1).

ContextBERT: Contextual Graph Representation Learning in Text Disambiguation

Saeidi, Mozhgan. (2021). " ContextBERT: Contextual Graph Representation Learning in Text Disambiguation." Booktitle: PKDD, Germany, September 16--20, 2019, Proceedings, Part II. pages={283--297}, year={2021}, organization={Springer} Journal 1. 1(1).

Biomedical Word Sense Disambiguation with Contextualized Representation Learning

Saeidi, Mozhgan and Milios, Evangelos and Zeh, Norbert. (2019). " Biomedical Word Sense Disambiguation with Contextualized Representation Learning." booktitle={Companion Proceedings of the Web Conference 2022}, pages={843--848}, year={2022} Journal 1. 1(1).

Ruler Wrapping

Gagie, Travis and Saeidi, Mozhgan and Sapucaia, Allan. (2022). " journal={International Journal of Computational Geometry \& Applications}, pages={1--10}, year={2022}, publisher={World Scientific} Journal 1. 1(1).

Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset

Naeini, Saeid and Saqur, Raeid and Saeidi, Mozhgan and Giorgi, John and Taati, Babak. (2023). " journal={journal={Advances in Neural Information Processing Systems}}, pages={100--130}, year={2023}, publisher={NeurIPS} Journal 1. 1(1).

Context-enhanced concept disambiguation in wikification

Mozhgan Saeidi, Kaveh Mahdaviani, Evangelos Milios, Norbert Zeh. (2023). " journal={Intelligent Systems with Applications }, pages={1--10}, year={2022}, publisher={World Scientific} Journal 1. 1(1).

Benchmarks for Physical Reasoning AI

Andrew Melnik, Robin Schiewer, Moritz Lange, Andrei Muresanu, Mozhgan Saeidi, Animesh Garg, Helge Ritter. (2023). " journal={TMLR}, pages={1--50}, year={2023}, publisher={TMLR} Journal 1. 1(1).

Teaching

Teaching Assistant

Teaching Assistant