CV
This is a shortened version of my resume.
Basics
Name | Eilam Shapira |
Label | PhD Candidate at the Technion, IIT |
Url | https://eilamshapira.github.io |
me@eilamshapira.com | |
Summary | My research focuses on training large language model-based agents for non-cooperative games. It aims to develop agents capable of effective natural language communication in economic settings, under a variety of types of data availability, while using reinforcement learning and transfer learning techniques. |
Education
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2023.06 - Present PhD Candidate
Technion - Israel Institute of Technology
Thesis: Generalization Methods for Training Large Language Model-Based Agents in Non-Cooperative Games.
Advisors: Prof. Roi Reichart, Prof. Moshe Tenennholtz -
2022.03 - 2023.05 MSc. as part of a direct PhD track
Technion - Israel Institute of Technology
The faculty of Data & Decision Sciences
Advisors: Prof. Roi Reichart, Prof. Moshe Tenennholtz
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2018.10 - 2022.07 BSc. Data Science & Engineering
Technion - Israel Institute of Technology
The faculty of Data & Decision Sciences
Gained theoretical knowledge and practical experience in data science, machine learning, deep learning, statistics, and natural language processing.
Teaching
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2022 - Present Head Teaching Assistant, Faculty of Data and Decision Sciences, Technion.
Intro to NLP (097215)
Winter 2022/23, Winter 2023/24.
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2022 - 2024 Lecturer, School of continuing education, Technion.
Natural Language Processing
Spring 2022, Spring 2024.
Work
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2020 - 2022 Haifa, Israel
Data Scientist (Student Position)
Augury
Designed and implemented learning algorithms to detect belt wear faults in industrial machinery, and improved automated classification of machinery fault types.
Awards
- 2024.10
- 2024.08
VATAT Scholarship for Outstanding PhD Students in AI and Data Science
VATAT
Awarded for the period 2024–2027
- 2021
- 2020
Volunteer
-
2024 - Present -
2019 - 2020 -
2019 - 2020 -
2018 - 2019
Languages
English | |
Fluent |
Hebrew | |
Native |
Interests
Research | |
Natural Language Processing (NLP) | |
Large Language Models (LLMs) | |
Language-based Games | |
LLM-based Agents | |
Multi-Agent Machine Learning |