CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

The impact of DDoS and other security shocks on Bitcoin currency exchanges: evidence from Mt. Gox

Amir Feder, Neil Gandal, J.T. Hamrick and Tyler Moore. "The impact of DDoS and other security shocks on Bitcoin currency exchanges: evidence from Mt. Gox." Journal of Cybersecurity (Volume 3, pages: 137-144). 2017.

The Rise and Fall of Cryptocurrencies

Amir Feder, Neil Gandal, J.T. Hamrick, Tyler Moore and Marie Vasek. "The Rise and Fall of Cryptocurrencies." Workshop on the Economics of Information Security. 2018.

The Economics of Cryptocurrency Pump and Dump Schemes

J.T. Hamrick, Farhang Rouhi, Arghya Mukherjee, Amir Feder, Neil Gandal, Tyler Moore and Marie Vasek. "The Economics of Cryptocurrency Pump and Dump Schemes." Workshop on the Economics of Information Security. 2019.

Explaining Classifiers with Causal Concept Effect (CaCE)

Active Deep Learning to Detect Demographic Traits in Free-Form Clinical Notes

Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim and Yossi Matias. "Active Deep Learning to Detect Demographic Traits in Free-Form Clinical Notes." Journal of Biomedical Informatics (Volume 107). 2020.

Predicting In-game Actions from Interviews of NBA Players

Amir Feder*, Nadav Oved* and Roi Reichart. "Predicting In-game Actions from Interviews of NBA Players." Computational Linguistics (Vol. 46, No. 3). 2020.

CausaLM: Causal Model Explanation Through Counterfactual Language Models

Amir Feder, Nadav Oved, Uri Shalit and Roi Reichart. "CausaLM: Causal Model Explanation Through Counterfactual Language Models"

On Calibration and Out-of-domain Generalization

Yoav Wald*, 'Amir Feder*, Daniel Greenfeld and Uri Shalit. "On Calibration and Out-of-domain Generalization"'

Are VQA Systems RAD? Measuring Robustness to Augmented Data

Daniel Yakoby, Itai Gat, 'Amir Feder and Roi Reichart. "Are VQA Systems RAD? Measuring Robustness to Augmented Data"'

Model Compression for Domain Adaptation through Causal Effect Estimation

Amir Feder*, Guy Rotman* and Roi Reichart. "Model Compression for Domain Adaptation through Causal Effect Estimation"

Learning and Evaluating a Differentially Private Pre-trained Language Model

Shlomo Hoory, Amir Feder, Avichai Tendler, Alon Cohen, Sofia Erell, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim and Yossi Matias. "Learning and Evaluating a Differentially Private Pre-trained Language Model"'

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

Brain embeddings with shared geometry to artificial contextual embeddings, as a code for representing language in the human brain

DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation

Nitay Calderon, Eyal Ben-David, Amir Feder and Roi Reichart. "DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation"

Talks

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Teaching

Service and leadership

• Currently signed in to 43 different slack teams