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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
PhD - Direct Track (July 2020-November 2022)
PhD - Direct Track, Data Science, IE&M Faculty, Technion - Israel Institute of Technology.
Using Machine Learning and Natural Language Processing for predicting decision making in multi-agent interactions.
Advisors: Prof. Roi Reichart, Prof. Moshe Tenneholtz and Prof. Ido Erev.
Honors & Awards
Awarded The Council for Higher Education of Israel PhD scholarship for outstanding female students in the high-tech fields.
M.sc. (2017-2020)
M.Sc. Data Science and Engineering, IE&M Faculty, Technion - Israel Institute of Technology.
Converted to direct track.
B.sc. (2013-2017)
B.Sc. Data Science and Engineering, IE&M Faculty, Technion - Israel Institute of Technology, Honors program.
Honors & Awards
- Graduated Summa Cum Laude.
- Awarded the Pinchas Naor Prize for outstanding achievements in Operations Research, Faculty of IE&M.
publications
Characterizing efficient referrals in social networks
Published in The Web Conference, 2018
Recommended citation: Reut Apel, Elad Yom-Tov, Moshe Tennenholtz. "Characterizing efficient referrals in social networks." Companion Proceedings of the The Web Conference 2018.
Predicting human decisions with behavioral theories and machine learning
Published in , 2019
Recommended citation: Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell, Evan C. Carter, James F. Cavanagh, Ido Erev."Predicting human decisions with behavioral theories and machine learning"
Designing an Automatic Agent for Repeated Language based Persuasion Games
Published in The Transactions of the Association for Computational Linguistics (TACL), 2021
Recommended citation: Maya Rafifer, Guy Rotman, Reut Apel, Moshe Tenneholtz and Roi Reichart. "Designing an Automatic Agent for Repeated Language based Persuasion Games"The Transactions of the Association for Computational Linguistics (TACL).
Predicting Decisions in Language Based Persuasion Games
Published in The Journal of Artificial Intelligence Research, 2022
Recommended citation: Reut Apel, Ido Erev, Roi Reichart and Moshe Tenneholtz. "Predicting Decisions in Language Based Persuasion Games"The Journal of Artificial Intelligence Research (JAIR).
MeeQA: Natural Questions in Meeting Transcripts
Published in , 2023
Recommended citation: Reut Apel, Tom Braude, Amir Kantor, Eyal Kolman. "MeeQA: Natural Questions in Meeting Transcripts"
Human Choice Prediction in Non-Cooperative Games: Simulation-based Off-Policy Evaluation
Published in , 2024
Recommended citation: Eilam Shapira, Reut Apel, Moshe Tennenholtz, Roi Reichart. "Human Choice Prediction in Non-Cooperative Games: Simulation-based Off-Policy Evaluation"
talks
Product and Data Analyst
Published:
Product and Data Analyst at the ‘Advanced Analytics’ group in Intel.
Worked on data science projects, including Big Data technologies, student position.
Conducted deep data analysis and developing new data science solutions.
Defined product features, worked closely with the development team.
Engaged with customers for gathering requirements and implementing the solutions.
Responsible for guidance of product and data analyst students.
Data Scientist Intern
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Data Scientist at the ‘Advanced Analytics’ group in Intel.
Conducted R&D data science projects end to end, graduate student position.
R&D projects for the design and validation groups at Intel, e.g., a classification tool for bug’s types detection.
Including data understanding, exploring algorithmic approaches, choosing measures based on customer’s requirements, and developing models validation process.
Summer Internship
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Question Answering in meeting transcript
NLP Researcher Intern
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NLP Researcher at the ‘Microsoft Search, Assistant and Intelligence’ group.
Research and development of machine learning and deep learning technologies for natural language processing capabilities in the Microsoft 365 suite of applications.
NLP Researcher
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NLP Researcher at K-health.
Research and development of NLP-driven solutions to empower healthcare providers. Utilizing large language models to build the company’s next-generation AI, and
teaching
Probability
Undergraduate course, Technion, Faculty of Industrial Engineering and Management, 2019
- Frontal teaching assistant for Probability, Undergraduate students (B.Sc).
- Spring 2019, Winter 2020, Winter 2021, and Spring 2021 semesters.
- Awarded twice the Technion’s Excellent TA award, Technion - IIT, Faculty of IE&M.
Project Advisor
Undergraduate course, Technion, Faculty of Industrial Engineering and Management, 2021
- Project advisor for design projects in machine learning, Undergraduate students (B.Sc).
- The projects were focused on natural language processing in the persuasion domain.