CV
This is a shortened version of my resume.
Basics
| Name | Sahar Admoni |
| Label | PhD Candidate @ Technion – IIT |
| saharad@campus.technion.ac.il | |
| Url | https://saharadmoni.com |
| Summary | My research focuses on the interaction between reinforcement learning and large language models, with the goal of improving sequential decision making and interpretability in AI systems. I study how LLMs can interpret and assist RL agents, and how RL techniques can support more consistent behavior and effective finetuning of LLMs. |
Education
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2024 - Present Haifa, Israel
PhD Candidate
Technion - Israel Institute of Technology
Thesis: “Leveraging Large Language Models to Interpret Reinforcement Learning Agents”
Advisors: Prof. Ofra Amir and Dr. Assaf Hallak
Key Collaborator: Prof. Yftah Ziser -
2023 - 2024 Haifa, Israel
MSc. as part of a direct PhD track
Technion - Israel Institute of Technology
The faculty of Data & Decision Sciences
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2019 - 2023 Haifa, Israel
BSc. Data Science & Engineering
Technion - Israel Institute of Technology
The faculty of Data & Decision Sciences
Acquired theoretical foundations and hands-on experience in machine learning, deep learning, reinforcement learning, natural language processing, and statistical analysis.
Experience
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2025.09 - 2025.10 Cambridge, MA, USA
Visiting Researcher
Harvard SEAS
Collaboration with Prof. Finale Doshi-Velez at the Center for Human-Aware AI Research and Modeling.
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2024.06 - Present Israel
Research Affiliate
NVIDIA Research
NVIDIA Research joined my PhD as a collaborative partner, providing mentorship, GPU resources, and co-supervision.
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2023.12 - 2024.07 Daejeon, South Korea
Research Scientist Intern
KAIST & LG AI Research
Developed a scalable methodology for evaluating subjective LLM metrics, contributing foundational research to the assessment pipeline for LG AI Research’s advanced language models.
Volunteer
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2022 - 2022 Israel
iTrek Delegate: Postgraduate Collaboration and Tech Industry Exploration
iTrek
Represented the Technion at the iTrek Delegation, engaging in cross-disciplinary collaboration with University of Michigan postgraduates.
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2018 - 2018 Boston, MA, USA
STEM Education Instructor
URJ 6 Points Sci-Tech
Designed and led hands-on STEM activities for youth participants, fostering problem-solving and computational thinking skills.
Languages
| English | |
| Fluent |
| Hebrew | |
| Native |
Interests
| Research | ||||||
| Reinforcement Learning (RL) | ||||||
| Large Language Models (LLMs) | ||||||
| Natural Language Processing (NLP) | ||||||
| Preference Optimization | ||||||
| Interpretability | ||||||